医疗人工智能 · 全部实体（第 77 / 100 页）

本页收录第 7601–7700 条，共 10000 条 · 返回 医疗人工智能 首页

• A holistic overview of deep learning approach in medical imaging
  Medical images are a rich source of invaluable necessary information used by clinicians. Recent technologies have introduced many advancements for exploiting the most of this information and use it to generate better analysis. Deep learning (DL) techniques hav…
  openalex Rammah Yousef, Gaurav Gupta, Nabhan Yousef, Manju Khari 2022-01-21 置信度 0.72 Deep learningComputer scienceArtificial intelligenceMedical imagingModalities
• ChatGPT’s Response Consistency: A Study on Repeated Queries of Medical Examination Questions
  (1) Background: As the field of artificial intelligence (AI) evolves, tools like ChatGPT are increasingly integrated into various domains of medicine, including medical education and research. Given the critical nature of medicine, it is of paramount importanc…
  openalex Paul F. Funk, Cosima C. Hoch, Samuel Knoedler, Leonard Knoedler 等 2024-03-08 置信度 0.72 Consistency (knowledge bases)Reliability (semiconductor)DependabilityContext (archaeology)Field (mathematics)
• Artificial intelligence powers regenerative medicine into predictive realm
  The expanding regenerative medicine toolkit is reaching a record number of lives. There is a pressing need to enhance the precision, efficiency, and effectiveness of regenerative approaches and achieve reliable outcomes. While regenerative medicine has relied …
  openalex Armin Garmany, André Terzic 2024-12-01 置信度 0.72 Regenerative medicineRealmComputer scienceBiologyStem cell
• Integrating Artificial Intelligence, Internet of Things, and Sensor-Based Technologies: A Systematic Review of Methodologies in Autism Spectrum Disorder Detection
  This paper presents a systematic review of the emerging applications of artificial intelligence (AI), Internet of Things (IoT), and sensor-based technologies in the diagnosis of autism spectrum disorder (ASD). The integration of these technologies has led to p…
  openalex Georgios Bouchouras, Konstantinos Kotis 2025-01-09 置信度 0.72 Autism spectrum disorderComputer scienceThe InternetInternet of ThingsAutism
• ROLE OF ARTIFICIAL INTELLIGENCE IN ELECTRIFICATION OF AFRICA
  The research explores the relationship between Artificial Intelligence (AI) and electrification in Africa, focusing on the challenges and emerging trends. The electrification deficit in Africa poses a significant impediment to economic development and social p…
  openalex Ibegbulam C.M, O.J Aigbovbiosa, J. A. Olowonubi, S. A. Fatounde 2023-12-26 置信度 0.72 ElectrificationTransformative learningBusinessRural electrificationSoftware deployment
• Healthcare workers' readiness for artificial intelligence and organizational change: a quantitative study in a university hospital
  OBJECTIVE: The aim of the study is to measure the readiness levels of medical artificial intelligence and the perception of openness to organizational change of healthcare professionals working in a university hospital in Istanbul. Additionally, the study seek…
  openalex Hafize Boyacı, Selma Söyük 2025-06-08 置信度 0.72 Health administrationOpenness to experienceHealth carePerceptionNursing research
• Artificial intelligence methods applied to longitudinal data from electronic health records for prediction of cancer: a scoping review
  BACKGROUND: Early detection and diagnosis of cancer are vital to improving outcomes for patients. Artificial intelligence (AI) models have shown promise in the early detection and diagnosis of cancer, but there is limited evidence on methods that fully exploit…
  openalex Victoria Moglia, Owen Johnson, G. Elliott Cook, Marc de Kamps 等 2025-01-28 置信度 0.72 Artificial intelligenceMachine learningComputer scienceMEDLINEConvolutional neural network
• Will Artificial Intelligence Be “Better” Than Humans in the Management of Syncope?
  Clinical decision-making regarding syncope poses challenges, with risk of physician error due to the elusive nature of syncope pathophysiology, diverse presentations, heterogeneity of risk factors, and limited therapeutic options. Artificial intelligence (AI)-…
  openalex Franca Dipaola, Milena A. Gebska, Mauro Gatti, Alessandro Giaj Levra 等 2024-07-31 置信度 0.72 Syncope (phonology)Causality (physics)Artificial intelligenceMedicineDisease
• Implementing artificial intelligence across task types: constraints of automation and affordances of augmentation
  Purpose This study aims to uncover the constraints of automation and the affordances of augmentation related to implementing artificial intelligence (AI)-powered systems across different task types: mechanical, thinking and feeling. Design/methodology/approach…
  openalex Elena Mazurova, Willem Standaert 2024-05-29 置信度 0.72 AffordanceTask (project management)AutomationComputer scienceKnowledge management
• Artificial intelligence in obstetric anaesthesia: an unlikely player?
  A recent study on analgesia during labour has shown how information, even from reputable sources, has the potential to mislead women and undermine access to pain relief during labour [1]. It raises concerns about what information is readily available to expect…
  openalex Cian Hurley, R. Kearsley 2024-04-12 置信度 0.72 MedicineAnesthesia
• The Effectiveness of Artificial Intelligence-Based Interventions for Students with Learning Disabilities: A Systematic Review
  Background/Objectives: While artificial intelligence (AI) is rapidly transforming education, its specific effectiveness for students with learning disabilities (LD) requires rigorous evaluation. This systematic review aims to assess the efficacy of AI-based ed…
  openalex A. Paglialunga, Sergio Melogno 2025-07-28 置信度 0.72 Psychological interventionPsychologyLearning disabilityMathematics educationApplied psychology
• Artificial Intelligence in Education: Ethical Considerations and Insights from Ancient Greek Philosophy
  This paper explores the ethical implications of integrating Artificial Intelligence (AI) in educational settings, from primary schools to universities, while drawing insights from ancient Greek philosophy to address emerging concerns.As AI technologies increas…
  openalex Kostas Karpouzis 2024-09-11 置信度 0.72 Computer scienceEngineering ethicsCognitive scienceArtificial intelligenceEngineering
• Characterizing the Increase in Artificial Intelligence Content Detection in Oncology Scientific Abstracts From 2021 to 2023
  PURPOSE: Artificial intelligence (AI) models can generate scientific abstracts that are difficult to distinguish from the work of human authors. The use of AI in scientific writing and performance of AI detection tools are poorly characterized. METHODS: We ext…
  openalex Frederick M. Howard, Anran Li, Mark Riffon, Elizabeth Garrett‐Mayer 等 2024-05-01 置信度 0.72 Content (measure theory)Internal medicineMedical physicsOncologyComputer science
• Advancing Medical Research Through Artificial Intelligence: Progressive and Transformative Strategies: A Literature Review
  Background and Aims: Artificial intelligence (AI) has become integral to medical research, impacting various aspects such as data analysis, writing assistance, and publishing. This paper explores the multifaceted influence of AI on the process of writing medic…
  openalex Ahmad R. Al‐Qudimat, Zainab E. Fares, Mai Elaarag, Maha Osman 等 2025-02-01 置信度 0.72 Transformative learningEngineering ethicsPsychologyCognitive scienceSociology
• Digital Twin and Artificial Intelligence in Machining: A Bibliometric Analysis
  The past decade has witnessed an exodus toward smart and lean manufacturing methods. The trend includes integrating intelligent methods into sustainable manufacturing systems purposely to improve the machining efficiency, reduce waste and also optimize product…
  openalex Dambatta Yusuf Suleiman, Q. X. Li, Benkai Li, Yanbin Zhang 等 2025-01-01 置信度 0.72 MachiningArtificial intelligenceComputer scienceEngineeringMechanical engineering
• Artificial intelligence and academic integrity in nursing education: A mixed methods study on usage, perceptions, and institutional implications
  BACKGROUND: The rise of artificial intelligence (AI) use in higher education has generated substantial debate among academics and students, given the potential for students to engage in academic misconduct through the misuse of AI. Academics argue that AI pose…
  openalex Maggie Zgambo, Martina Costello, Melanie Buhlmann, Justine Maldon 等 2025-06-03 置信度 0.72 Academic integrityPerceptionNursingPsychologyNurse education
• Artificial Intelligence and Publication Ethics
  openalex Geraldine S. Pearson 2024-04-14 置信度 0.72 PsychologyEngineering ethicsEngineering
• Embracing Artificial Intelligence: Revolutionizing Nursing Documentation for a Better Future
  Nursing documentation stands as a critical aspect of healthcare delivery, ensuring comprehensive patient records and facilitating communication among healthcare providers. However, traditional documentation methods are often time-consuming and prone to errors,…
  openalex Sankalp Yadav 2024-04-06 置信度 0.72 DocumentationWorkflowHealth careTransformative learningNursing care
• Artificial intelligence-enhanced electrocardiography to predict regurgitant valvular heart diseases: an international study
  BACKGROUND AND AIMS: Valvular heart disease (VHD) is a significant source of morbidity and mortality, though early intervention can improve outcomes. This study aims to develop artificial intelligence-enhanced electrocardiography (AI-ECG) models to diagnose an…
  openalex Yixiu Liang, Arunashis Sau, Boroumand Zeidaabadi, Joseph Barker 等 2025-07-16 置信度 0.72 MedicineCardiologyInternal medicineHazard ratiovalvular heart disease
• Perceived worries in the adoption of artificial intelligence among nurses in neonatal intensive care units
  INTRODUCTION: Artificial Intelligence (AI) comprises computational algorithms designed to analyze data, learn patterns, and execute tasks traditionally requiring human cognition. These models can support public health initiatives, expedite clinical care, and i…
  openalex Ahmad Ayed, Ahmad Batran, Ibrahim Aqtam, Malakeh Z. Malak 等 2025-07-01 置信度 0.72 WorkforceMedicineIntensive careHealth careWorkflow
• Artificial Intelligence Drives Advances in Multi-Omics Analysis and Precision Medicine for Sepsis
  Sepsis is a life-threatening syndrome characterized by marked clinical heterogeneity and complex host-pathogen interactions. Although traditional mechanistic studies have identified key molecular pathways, they remain insufficient to capture the highly dynamic…
  openalex Youxie Shen, Peidong Zhang, Jialiu Luo, Shunyao Chen 等 2026-01-23 置信度 0.72 InterpretabilityPrecision medicineArtificial intelligenceGeneralizability theoryComputer science
• Evaluation of the Performance of Artificial Intelligence Based Chatbots in Providing First Aid Information on Dental Trauma According to the ToothSOS Application
  AIM: The aim of this study was to evaluate the performance of ChatGPT-4o and Gemini Advanced artificial intelligence-based chatbots (AI-based chatbots) in providing emergency intervention recommendations for dental trauma with intraoral photographs of patients…
  openalex Ecem Elif Çege, Hamide Cömert, Neşe Akal, Ayşegül Ölmez 2025-06-09 置信度 0.72 Dental traumaMedicineTooth AvulsionTraumatologyReliability (semiconductor)
• AI in Radiology: Navigating Medical Responsibility
  The application of Artificial Intelligence (AI) facilitates medical activities by automating routine tasks for healthcare professionals. AI augments but does not replace human decision-making, thus complicating the process of addressing legal responsibility. T…
  openalex Maria Teresa Contaldo, Giovanni Pasceri, G. Vignati, Laura Bracchi 等 2024-07-12 置信度 0.72 LiabilityAutonomyProcess (computing)UsabilityHealth care
• Enhancing emotional intelligence in medical education: a systematic review of interventions
  Introduction: Emotional intelligence (EI) is a crucial competency for medical professionals, facilitating effective interpersonal relationships between physicians and patients. The ability to evaluate, regulate, and apply emotional understanding plays a signif…
  openalex Sabyasachi Maity, Samantha Michelle De Filippis, Alexander Aldanese, Melissa A. McCulloch 等 2025-07-28 置信度 0.72 Psychological interventionEmotional intelligencePsychologyApplied psychologyClinical psychology
• Artificial general intelligence in industry 4.0, 5.0, and society 5.0: Applications, opportunities, challenges, and future direction
  Artificial General Intelligence (AGI) is a giant step ahead of narrow Artificial Intelligence (AI), and in a wonder-form, it can really revolutionize Industry 4.0, 5.0, and Society 5.0. For instance, in Industry 4.0, AGI will permit absolutely autonomous fabri…
  openalex Jayesh Rane, Ömer Kaya, Suraj Kumar Mallick, Nitin Liladhar Rane 2024-10-16 置信度 0.72 Engineering ethicsEngineeringData scienceManagement scienceComputer science
• A Framework for Interactive Medical Image Segmentation Using Optimized Swarm Intelligence with Convolutional Neural Networks
  Recent improvements in current technology have had a significant impact on a wide range of image processing applications, including medical imaging. Classification, detection, and segmentation are all important aspects of medical imaging technology. An enormou…
  openalex Chetna Kaushal, Md Khairul Islam, Sara A. Althubiti, Fayadh Alenezi 等 2022-08-24 置信度 0.72 Artificial intelligenceComputer scienceSegmentationConvolutional neural networkPattern recognition (psychology)
• The Future of Artificial Intelligence
  We presen t a global Artificial Intelligence (AI) con ceptual framew ork, operationalization, and forecast to the year 2100. A series of AI indices were developed within the International Futures (IFs) integrated assessment platform, a quantitative macro-level…
  openalex Andrew C. Scott, José R. Solórzano, Jonathan D. Moyer, Barry B. Hughes 2022-01-18 置信度 0.72 Artificial intelligenceComputer sciencePsychologyCognitive science
• Extracting value from total-body PET/CT image data - the emerging role of artificial intelligence
  The evolution of Positron Emission Tomography (PET), culminating in the Total-Body PET (TB-PET) system, represents a paradigm shift in medical imaging. This paper explores the transformative role of Artificial Intelligence (AI) in enhancing clinical and resear…
  openalex Lalith Kumar Shiyam Sundar, Sebastian Gutschmayer, Marcel Maenle, Thomas Beyer 2024-04-11 置信度 0.72 WorkflowPositron emission tomographyMedicineTransformative learningPET-CT
• The fusion of microfluidics and artificial intelligence: a novel alliance for medical advancements
  Microfluidics, focusing on fluid manipulation at a miniature scale, has revolutionized biological experiments by enabling precise handling of samples at reduced volumes. It proves highly effective ...
  openalex Priyanka A. Shah, Pranav S. Shrivastav, Manjunath Ghate, Vishwajit Chavda 2024-07-09 置信度 0.72 MicrofluidicsAllianceNanotechnologyComputer scienceData science
• The Epistemic Cost of Opacity: How the Use of Artificial Intelligence Undermines the Knowledge of Medical Doctors in High-Stakes Contexts
  Abstract Artificial intelligent (AI) systems used in medicine are often very reliable and accurate, but at the price of their being increasingly opaque. This raises the question whether a system’s opacity undermines the ability of medical doctors to acquire kn…
  openalex Eva Schmidt, Paul Martin Putora, Rianne Fijten 2025-01-13 置信度 0.72 Philosophy of technologyCorrectnessLuckEpistemologyPerspective (graphical)
• The role of artificial intelligence for early warning systems: Status, applicability, guardrails, and ways forward
  Artificial intelligence (AI) is gaining momentum in earth sciences as a tool to analyze complex natural hazards and their impacts. Such analyses are critical for effective Early Warning Systems (EWSs), which is aiming to generate timely and actionable risk inf…
  openalex Timothy Tiggeloven, Samira Pfeiffer, Alessia Matanó, Marc van den Homberg 等 2025-10-04 置信度 0.72 Warning systemContext (archaeology)Data scienceKey (lock)Computer science
• Comparative Analysis of Accuracy, Readability, Sentiment, and Actionability: Artificial Intelligence Chatbots (ChatGPT and Google Gemini) versus Traditional Patient Information Leaflets for Local Anesthesia in Eye Surgery
  Background and Aim: Eye surgeries often evoke strong negative emotions in patients, including fear and anxiety. Patient education material plays a crucial role in informing and empowering individuals. Traditional sources of medical information may not effectiv…
  openalex Prakash Gondode, Sakshi Duggal, Neha Garg, Pooja Lohakare 等 2024-01-01 置信度 0.72 ReadabilityArtificial intelligenceMedicineComputer scienceNatural language processing
• Artificial intelligence-enabled multipurpose smart detection in active-matrix electrowetting-on-dielectric digital microfluidics
  An active-matrix electrowetting-on-dielectric (AM-EWOD) system integrates hundreds of thousands of active electrodes for sample droplet manipulation, which can enable simultaneous, automatic, and parallel on-chip biochemical reactions. A smart detection system…
  openalex Zhongjie Jia, Chunyu Chang, Siyi Hu, Jiahao Li 等 2024-09-27 置信度 0.72 ElectrowettingDigital microfluidicsMicrofluidicsComputer scienceSorting
• Artificial Intelligence-Driven Development and Characterization of Nanomedicine
  Abstract Nanomedicine has enabled major advances in targeted therapeutics by improving drug bioavailability, precision delivery, and safety profiles. However, the rational design and reproducible synthesis of nanoparticles with tightly controlled physicochemic…
  openalex Nnamdi Ikemefuna Okafor, Nkeiruka N. Igbokwe, Hope Onohuean, Mbuso Faya 等 2026-03-17 置信度 0.72 NanomedicineNanotechnologyComputer scienceCharacterization (materials science)Transformative learning
• Artificial intelligence support improves diagnosis accuracy in anterior segment eye diseases
  CorneAI, a deep learning model designed for diagnosing cataracts and corneal diseases, was assessed for its impact on ophthalmologists' diagnostic accuracy. In the study, 40 ophthalmologists (20 specialists and 20 residents) classified 100 images, including iP…
  openalex Hiroki Maehara, Yuta Ueno, Takefumi Yamaguchi, Yoshiyuki Kitaguchi 等 2025-02-11 置信度 0.72 Slit lampMedicineOphthalmologyDiagnostic accuracyCataracts
• Search Engines and Generative Artificial Intelligence Integration: Public Health Risks and Recommendations to Safeguard Consumers Online
  BACKGROUND: The online pharmacy market is growing, with legitimate online pharmacies offering advantages such as convenience and accessibility. However, this increased demand has attracted malicious actors into this space, leading to the proliferation of illeg…
  openalex Amir Reza Ashraf, Tim K. Mackey, András Fittler 2024-01-04 置信度 0.72 PharmacyInternet privacyOnline searchPublic healthBusiness
• Brain organoids and organoid intelligence from ethical, legal, and social points of view
  Human brain organoids, aka cerebral organoids or earlier “mini-brains”, are 3D cellular models that recapitulate aspects of the developing human brain. They show tremendous promise for advancing our understanding of neurodevelopment and neurological disorders.…
  openalex Thomas Härtung, Itzy E. Morales Pantoja, Lena Smirnova 2024-01-05 置信度 0.72 OrganoidNeuroethicsCorporate governanceEngineering ethicsPublic trust
• Artificial Intelligence in Multilingual Interpretation and Radiology Assessment for Clinical Language Evaluation (AI-MIRACLE)
  The AI-MIRACLE Study investigates the efficacy of using ChatGPT 4.0, a large language model (LLM), for translating and simplifying radiology reports into multiple languages, aimed at enhancing patient comprehension. The study assesses the model's performance a…
  openalex Praneet Khanna, Gagandeep Dhillon, Venkata Buddhavarapu, Ram Verma 等 2024-08-30 置信度 0.72 Interpretation (philosophy)MiracleComputer scienceNatural language processingMedicine
• Multimodal Large Language Models in Medical Imaging: Current State and Future Directions
  Multimodal large language models (MLLMs) are emerging as powerful tools in medicine, particularly in radiology, with the potential to serve as trusted artificial intelligence (AI) partners for clinicians. In radiology, these models integrate large language mod…
  openalex Yoojin Nam, D. Kim, Sunggu Kyung, Jinyoung Seo 等 2025-01-01 置信度 0.72 MedicineCurrent (fluid)State (computer science)Medical imagingMedical physics
• From Lab to Clinic: How Artificial Intelligence (AI) Is Reshaping Drug Discovery Timelines and Industry Outcomes
  Background/Objectives: Artificial intelligence (AI) is transforming drug discovery and development by enhancing the speed and precision of identifying drug candidates and optimizing their efficacy. This review evaluates the application of AI in various stages …
  openalex Doni Dermawan, Nasser Alotaiq 2025-06-30 置信度 0.72 MedicineDrug developmentDrug discoveryClinical trialArtificial intelligence
• Impact of Artificial Intelligence on Healthcare Informatics: Opportunities and Challenges
  Healthcare informatics, a field that integrates information technology, computer science, and healthcare, is crucial for managing and analyzing data, contributing to academic research, improving patient care, and enhancing healthcare systems. The integration o…
  openalex P.K. Saxena 2023-01-01 置信度 0.72 Health careHealth informaticsInformaticsComputer scienceData science
• Large Language Models lack essential metacognition for reliable medical reasoning
  Large Language Models have demonstrated expert-level accuracy on medical board examinations, suggesting potential for clinical decision support systems. However, their metacognitive abilities, crucial for medical decision-making, remain largely unexplored. To …
  openalex Maxime Griot, Coralie Hemptinne, Jean Vanderdonckt, Demet Yüksel 2025-01-14 置信度 0.72 MetacognitionRecallComputer scienceBenchmark (surveying)Cognitive psychology
• A framework for evaluating clinical artificial intelligence systems without ground-truth annotations
  A clinical artificial intelligence (AI) system is often validated on data withheld during its development. This provides an estimate of its performance upon future deployment on data in the wild; those currently unseen but are expected to be encountered in a c…
  openalex Dani Kiyasseh, Aaron B. Cohen, Chengsheng Jiang, Nicholas Altieri 2024-02-28 置信度 0.72 Ground truthSoftware deploymentComputer scienceTrustworthinessArtificial intelligence
• Transparency and accountability in AI systems: safeguarding wellbeing in the age of algorithmic decision-making
  The rapid integration of artificial intelligence (AI) systems into various domains has raised concerns about their impact on individual and societal wellbeing, particularly due to the lack of transparency and accountability in their decision-making processes. …
  openalex Ben Chester Cheong 2024-07-03 置信度 0.72 AccountabilityTransparency (behavior)SafeguardingEngineering ethicsCorporate governance
• Artificial Intelligence for Response Assessment in Neuro Oncology (AI-RANO), part 2: recommendations for standardisation, validation, and good clinical practice
  openalex Spyridon Bakas, Philipp Vollmuth, Norbert Galldiks, Thomas C. Booth 等 2024-10-29 置信度 0.72 Medical physicsClinical PracticeArtificial intelligenceComputer sciencePsychology
• A bibliometric analysis on artificial intelligence in mathematics education
  The research on artificial intelligence in mathematics education has attracted much attention from researchers since the last decade. This study aims to provide holistic information about artificial intelligence in mathematics education research using bibliome…
  openalex Prawidi Wisnu Subroto, Maulana Malik, Aji Raditya, Nisvu Nanda Saputra 2024-01-30 置信度 0.72 Mathematics educationComputer scienceMathematics
• Quality of science journalism in the age of Artificial Intelligence explored with a mixed methodology
  Science journalists, traditionally, play a key role in delivering science information to a wider audience. However, changes in the media ecosystem and the science-media relationship are posing challenges to reliable news production. Additionally, recent develo…
  openalex Anne M. Dijkstra, Anouk de Jong, Marco Boscolo 2024-06-18 置信度 0.72 RigourJournalismThematic analysisContext (archaeology)Quality (philosophy)
• Lecturers’ Perceptions on the Integration of Artificial Intelligence Tools into Teaching Practice
  Higher education has witnessed a massive transformation due to the advent of generative artificial intelligence (AI) technologies such as ChatGPT. In essence, AI has transformed various aspects of society as a whole. Despite the growing interest in applying AI…
  openalex Murimo Bethel Mutanga, Vikash Jugoo, Kuburat Oyeranti Adefemi 2024-12-13 置信度 0.72 PerceptionPsychologyMathematics educationComputer scienceNeuroscience
• Lung Imaging and Artificial Intelligence in ARDS
  Artificial intelligence (AI) can make intelligent decisions in a manner akin to that of the human mind. AI has the potential to improve clinical workflow, diagnosis, and prognosis, especially in radiology. Acute respiratory distress syndrome (ARDS) is a very d…
  openalex Davide Chiumello, Silvia Coppola, Giulia Catozzi, Fiammetta Danzo 等 2024-01-05 置信度 0.72 MedicineARDSLungRadiologyAcute respiratory distress
• The synergy of neuromarketing and artificial intelligence: A comprehensive literature review in the last decade
  Abstract This paper conducts a systematic literature analysis on "artificial intelligence, ethical artificial intelligence, neuromarketing, consumer neuroscience, neuroethics, and neurotechnology." This study followed the systematic literature review methodolo…
  openalex Ahmed H. Alsharif, Junhai Wang, Salmi Mohd Isa, Nor Zafir Md Salleh 等 2025-07-21 置信度 0.72 NeuromarketingBusinessPsychologyComputer scienceMarketing
• Artificial Intelligence: The Future
  Artificial intelligence is the intelligence of machines or software, as opposed to the intelligence of humans or animals. It is also the field of study in computer science that develops and studies intelligent machines. "AI" may also refer to the machines them…
  openalex Narendra Singh Yadav, Latika Sharma, Urmila Dhake 2023-12-30 置信度 0.72 Artificial intelligenceApplications of artificial intelligenceMusic and artificial intelligenceComputer scienceContext (archaeology)
• Artificial Intelligence in IVF Laboratories: Elevating Outcomes Through Precision and Efficiency
  Incorporating artificial intelligence (AI) into in vitro fertilization (IVF) laboratories signifies a significant advancement in reproductive medicine. AI technologies, such as neural networks, deep learning, and machine learning, promise to enhance quality co…
  openalex Yaling Hew, Duygu Kütük, Tuba Düzcü, Yagmur Ergun 等 2024-11-28 置信度 0.72 Precision medicineArtificial intelligenceReproductive medicineApplications of artificial intelligenceQuality assurance
• Artificial intelligence in respiratory care: perspectives on critical opportunities and challenges
  Artificial intelligence (AI) is transforming respiratory healthcare through a wide range of deep learning and generative tools, and is increasingly integrated into both patients' lives and routine respiratory care. The implications of AI in respiratory care ar…
  openalex David Drummond, Ireti Adejumo, Kjeld Hansen, Vitalii Poberezhets 等 2024-10-01 置信度 0.72 SafeguardingHealth careTransparency (behavior)Leverage (statistics)Misinformation
• Integration of cognitive tasks into artificial general intelligence test for large models
  During the evolution of large models, performance evaluation is necessary for assessing their capabilities. However, current model evaluations mainly rely on specific tasks and datasets, lacking a united framework for assessing the multidimensional intelligenc…
  openalex Youzhi Qu, Chen Wei, Penghui Du, W.Q. Che 等 2024-03-22 置信度 0.72 Human intelligenceComputer scienceEmbodied cognitionCognitionArtificial intelligence
• Artificial Intelligence in Glioblastoma—Transforming Diagnosis and Treatment
  Glioblastoma (GBM) is the most aggressive and common primary brain malignancy in adults, characterized by poor prognosis and treatment resistance. Despite advancements in treatment options, the median survival is roughly 15 months, underlining the need for nov…
  openalex Alen Rončević, Nenad Koruga, Anamarija Soldo Koruga, Robert Rončević 2025-06-02 置信度 0.72 Transformative learningInterpretabilityGlioblastomaArtificial intelligencePrecision medicine
• Ensuring Appropriate Representation in Artificial Intelligence–Generated Medical Imagery: Protocol for a Methodological Approach to Address Skin Tone Bias
  BACKGROUND: In medical education, particularly in anatomy and dermatology, generative artificial intelligence (AI) can be used to create customized illustrations. However, the underrepresentation of darker skin tones in medical textbooks and elsewhere, which s…
  openalex Andrew O’Malley, Miriam Veenhuizen, Ayla Ahmed 2024-10-01 置信度 0.72 PreprintTone (literature)Representation (politics)Computer scienceData science
• Artificial intelligence and learner autonomy: a meta-analysis of self-regulated and self-directed learning
  Introduction As artificial intelligence (AI) becomes increasingly embedded in educational environments, understanding its role in shaping learners’ self-regulated learning (SRL) and self-directed learning (SDL) has emerged as a central concern in contemporary …
  openalex krishnashree achuthan 2025-12-29 置信度 0.72 ModerationPsychological interventionAutonomyEmpirical researchRobustness (evolution)
• Artificial intelligence for cancer screening and surveillance
  Investing in cancer prevention can be cost-effective. However, this requires significant changes both inside and outside the health care system. The core of the preventive strategy is the assignment of an individual risk level of developing cancer. Artificial …
  openalex Francesco Gentile, Natalia Malara 2024-07-10 置信度 0.72 CancerCancer detectionCancer screeningComputer scienceArtificial intelligence
• Artificial intelligence (AI) for neurologists: do digital neurones dream of electric sheep?
  Artificial intelligence (AI) is routinely mentioned in journals and newspapers, and non-technical outsiders may have difficulty in distinguishing hyperbole from reality. We present a practical guide to help non-technical neurologists to understand healthcare A…
  openalex Joshua Au Yeung, Yang Yang Wang, Željko Kraljević, James Teo 2023-11-17 置信度 0.72 Applications of artificial intelligenceJargonHealth careArtificial intelligenceComputer science
• Best Practice Performance of COVID-19 in America continent with Artificial Intelligence
  Metaheuristics were employed with ANFIS and K-means to determine whether COVID-19 performed the best on the American continent. A few individuals lost their lives to COVID-19, and quite a few nations assisted with this matter. It is essential to know the natio…
  openalex Amir Karbassi Yazdi, Hossein Komasi 2024-07-27 置信度 0.72 Coronavirus disease 2019 (COVID-19)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)2019-20 coronavirus outbreakGeographyArtificial intelligence
• The role of artificial intelligence in coronary CT angiography
  Coronary CT angiography (CCTA) offers an efficient and reliable tool for the non-invasive assessment of suspected coronary artery disease through the analysis of coronary artery plaque and stenosis. However, the detailed manual analysis of CCTA is a burdensome…
  openalex Rudolf L. M. van Herten, Ioannis Lagogiannis, Tim Leiner, Ivana Išgum 2024-10-10 置信度 0.72 Coronary angiographyMedicineAngiographyRadiologyComputer science
• A Survey of Publicly Available MRI Datasets for Potential Use in Artificial Intelligence Research
  Artificial intelligence (AI) has the potential to bring transformative improvements to the field of radiology; yet, there are barriers to widespread clinical adoption. One of the most important barriers has been access to large, well-annotated, widely represen…
  openalex Katharine A. Dishner, Bala McRae‐Posani, Arka Bhowmik, Maxine S. Jochelson 等 2023-10-27 置信度 0.72 Computer scienceField (mathematics)DemographicsData scienceInteroperability
• Transforming Echocardiography: The Role of Artificial Intelligence in Enhancing Diagnostic Accuracy and Accessibility
  Artificial intelligence (AI) has shown transformative potential in various medical fields, including diagnostic imaging. Recent advances in AI-driven technologies have opened new avenues for improving echocardiographic practices. AI algorithms enhance the imag…
  openalex Kenya Kusunose 2024-07-24 置信度 0.72 MedicineWorkflowHealth careEconomic shortageTelemedicine
• Mammographic classification of interval breast cancers and artificial intelligence performance
  BACKGROUND: European studies suggest that artificial intelligence (AI) can reduce interval breast cancers. Research on interval breast cancer classification and AI's effectiveness in the United States, however, particularly using digital breast tomosynthesis a…
  openalex Tiffany Yu, Anne Hoyt, Melissa Joines, Cheryce Fischer 等 2025-04-17 置信度 0.72 MedicineOccultMammographyDigital Breast TomosynthesisBreast imaging
• Artificial intelligence in predicting chronic kidney disease prognosis. A systematic review and meta-analysis
  Background Chronic kidney disease (CKD) is a common condition that can lead to serious health complications. Artificial Intelligence (AI) has shown the potential to improve the prediction of CKD progression, offering increased accuracy over traditional methods…
  openalex Qinyu Pan, Mengli Tong 2024-12-11 置信度 0.72 MedicineKidney diseaseMeta-analysisIntensive care medicineDisease
• Nordic radiographers’ and students’ perspectives on artificial intelligence – A cross-sectional online survey
  INTRODUCTION: The integration of artificial intelligence (AI) into the domain of radiography holds substantial potential in various aspects including workflow efficiency, image processing, patient positioning, and quality assurance. The successful implementati…
  openalex Malene Roland Vils Pedersen, Martin Weber Kusk, Simon Lysdahlgaard, H. Mork-Knudsen 等 2024-03-09 置信度 0.72 Cross-sectional studyMedical educationPsychologyMedicinePathology
• Educators’ Perceptions on Artificial Intelligence in Higher Education: Insights from the Jordanian Higher Education
  This paper investigates educators’ perceptions of the application of Artificial Intelligence in Higher Education (AIHEd) and its benefits and concerns within the Jordanian higher education. Like in other contexts, the adoption of Artificial Intelligence (AI) i…
  openalex Lamis F. Al-Qora’n 2025-01-01 置信度 0.72 PerceptionPsychologyHigher educationMedical educationPolitical science
• Application of artificial intelligence in laryngeal lesions: a systematic review and meta-analysis
  OBJECTIVE: The objective of this systematic review and meta-analysis was to evaluate the diagnostic accuracy of AI-assisted technologies, including endoscopy, voice analysis, and histopathology, for detecting and classifying laryngeal lesions. METHODS: A syste…
  openalex Alejandro R. Marrero‐Gonzalez, Tanner J. Diemer, Shaun A. Nguyen, Terence James M. Camilon 等 2024-11-22 置信度 0.72 HistopathologyMeta-analysisEndoscopyMedicineDiagnostic accuracy
• Application of artificial intelligence in the diagnosis and treatment of urinary tumors
  Diagnosis and treatment of urological tumors, relying on auxiliary data such as medical imaging, while incorporating individual patient characteristics into treatment selection, has long been a key challenge in clinical medicine. Traditionally, clinicians used…
  openalex Mengying Zhu, Zhichao Gu, Fang Chen, Xi Chen 等 2024-08-12 置信度 0.72 Artificial intelligenceConvolutional neural networkRenal cell carcinomaDeep learningProstate cancer
• Artificial Intelligence Tools in Pediatric Urology: A Comprehensive Review of Recent Advances
  Artificial intelligence (AI) is providing novel answers to long-standing clinical problems, and it is quickly changing pediatric urology. This thorough analysis focuses on current developments in AI technologies that improve pediatric urology diagnosis, treatm…
  openalex Adiba Tabassum Chowdhury, Abdus Salam, Mansura Naznine, Da’ad Abdalla 等 2024-09-17 置信度 0.72 Pediatric urologyArtificial intelligencePyeloplastyComputer scienceSegmentation
• Artificial Intelligence in Multi-Disease Medical Diagnostics: An Integrative Approach
  With advanced algorithms, artificial intelligence (AI) has revolutionized the medical diagnostic field where diseases can be predicted simultaneously. The integrative nature of this approach is novel because it can better encompass the complexity of comorbid c…
  openalex Nigar Sultana, Shariar Islam Saimon, Ishraq Islam, Shake Ibna Abir 等 2025-02-09 置信度 0.72 DiseaseArtificial intelligenceComputer sciencePsychologyData science
• MR-linac: role of artificial intelligence and automation
  The integration of artificial intelligence (AI) into radiotherapy has advanced significantly during the past 5 years, especially in terms of automating key processes like organ at risk delineation and treatment planning. These innovations have enhanced consist…
  openalex S. Psoroulas, Alina Paunoiu, Stefanie Corradini, Juliane Hörner‐Rieber 等 2025-01-22 置信度 0.72 MedicineContouringWorkflowQuality assuranceRadiation treatment planning
• THE ROLE OF ARTIFICIAL INTELLIGENCE IN FUTURE TECHNOLOGY
  This research paper illuminates the role of artificial intelligence (AI) in future technology. Artificial intelligence is a field of computer science that aims to create mental capabilities similar to human intelligence in machines and systems. In recent decad…
  openalex Gaybulloyev E.E., Siddikov B.N. Kudratillaev M.B. 2023-06-07 置信度 0.72 Cognitive sciencePsychologyComputer scienceArtificial intelligenceManagement science
• The Origins and Veracity of References ‘Cited’ by Generative Artificial Intelligence Applications: Implications for the Quality of Responses
  The public release of ChatGPT in late 2022 has resulted in considerable publicity and has led to widespread discussion of the usefulness and capabilities of generative Artificial intelligence (Ai) language models. Its ability to extract and summarise data from…
  openalex Dirk Spennemann 2025-03-12 置信度 0.72 Quality (philosophy)Generative grammarComputer scienceArtificial intelligenceEpistemology
• Artificial intelligence assisted real-time recognition of intra-abdominal metastasis during laparoscopic gastric cancer surgery
  Laparoscopic exploration (LE) is crucial for diagnosing intra-abdominal metastasis (IAM) in advanced gastric cancer (GC). However, overlooking single, tiny, and occult IAM lesions during LE can severely affect the treatment and prognosis due to surgeons' visua…
  openalex Hao Chen, Longfei Gou, Zhiwen Fang, Qi Dou 等 2025-01-05 置信度 0.72 MedicineOccultCancerMetastasisRadiology
• A Review of Artificial Intelligence and Deep Learning Approaches for Resource Management in Smart Buildings
  This comprehensive review maps the fast-evolving landscape in which artificial intelligence (AI) and deep-learning (DL) techniques converge with the Internet of Things (IoT) to manage energy, comfort, and sustainability across smart environments. A PRISMA-guid…
  openalex Bibars Amangeldy, Timur Imankulov, Nurdaulet Tasmurzayev, Gulmira Dikhanbayeva 等 2025-07-25 置信度 0.72 Architectural engineeringEngineeringComputer scienceResource (disambiguation)Systems engineering
• Residency Applications in the Era of Generative Artificial Intelligence
  openalex Jenny Chen, Sarah N. Bowe, Francis Deng 2024-06-01 置信度 0.72 Generative grammarResidency trainingData scienceComputer scienceMEDLINE
• Artificial intelligence and predictive models for early detection of acute kidney injury: transforming clinical practice
  Acute kidney injury (AKI) presents a significant clinical challenge due to its rapid progression to kidney failure, resulting in serious complications such as electrolyte imbalances, fluid overload, and the potential need for renal replacement therapy. Early d…
  openalex Tu T. Tran, Giae Yun, Sejoong Kim 2024-10-16 置信度 0.72 MedicineAcute kidney injuryIntensive care medicineNarrative reviewNephrology
• Artificial Intelligence Empowering Dynamic Spectrum Access in Advanced Wireless Communications: A Comprehensive Overview
  This review paper examines the integration of artificial intelligence (AI) in wireless communication, focusing on cognitive radio (CR), spectrum sensing, and dynamic spectrum access (DSA). As the demand for spectrum continues to rise with the expansion of mobi…
  openalex Abiodun Gbenga‐Ilori, Agbotiname Lucky Imoize, Kinzah Noor, Paul Oluwadara Adebolu-Ololade 2025-06-13 置信度 0.72 WirelessComputer scienceTelecommunicationsSpectrum (functional analysis)Computer network
• Influence of next-generation artificial intelligence on headache research, diagnosis and treatment: the junior editorial board members’ vision – part 2
  Part 2 explores the transformative potential of artificial intelligence (AI) in addressing the complexities of headache disorders through innovative approaches, including digital twin models, wearable healthcare technologies and biosensors, and AI-driven drug …
  openalex Igor Petrušić, Chia‐Chun Chiang, David García‐Azorín, Woo‐Seok Ha 等 2025-01-02 置信度 0.72 Editorial boardArtificial intelligencePsychologyMedicineMedical education
• Knowledge, Attitude, and Practices toward Artificial Intelligence among University Students in Lebanon
  Background: The expansion of artificial intelligence (AI) across diverse sectors worldwide demands an understanding of its impact on future generations. The studies of its influence on university students’ behavior and application in Lebanon are still limited.…
  openalex Samer A. Kharroubi, Iman Tannir, Rasha Abu El Hassan, Rouba Ballout 2024-08-09 置信度 0.72 FacilitatorCurriculumPsychologyHigher educationMedical education
• Artificial intelligence reveals the predictions of hematological indexes in children with acute leukemia
  Childhood leukemia is a prevalent form of pediatric cancer, with acute lymphoblastic leukemia (ALL) and acute myeloid leukemia (AML) being the primary manifestations. Timely treatment has significantly enhanced survival rates for children with acute leukemia. …
  openalex Zhangkai J. Cheng, Haiyang Li, Mingtao Liu, Xing Fu 等 2024-08-12 置信度 0.72 MedicineLeukemiaMyeloid leukemiaChildhood leukemiaAcute leukemia
• Are we ready to integrate advanced artificial intelligence models in clinical laboratory?
  The application of advanced artificial intelligence (AI) models and algorithms in clinical laboratories is a new inevitable stage of development of laboratory medicine, since in the future, diagnostic and prognostic panels specific to certain diseases will be …
  openalex Slavica Dodig, Ivana Čepelak, Matko Dodig 2024-12-16 置信度 0.72 Computer scienceArtificial intelligence
• Diagnostic accuracy in coronary CT angiography analysis: artificial intelligence versus human assessment
  BACKGROUND: Visual assessment of coronary CT angiography (CCTA) is time-consuming, influenced by reader experience and prone to interobserver variability. This study evaluated a novel algorithm for coronary stenosis quantification (atherosclerosis imaging quan…
  openalex Rachel Bernardo, Nick S. Nurmohamed, Michiel J. Bom, Ruurt Jukema 等 2025-01-01 置信度 0.72 Coronary angiographyRadiologyMedicineAngiographyCardiology
• American Academy of Otolaryngology–Head and Neck Surgery (AAO‐HNS) Report on Artificial Intelligence
  This report synthesizes the American Academy of Otolaryngology-Head and Neck Surgery (AAO-HNS) Task Force's guidance on the integration of artificial intelligence (AI) in otolaryngology-head and neck surgery (OHNS). A comprehensive literature review was conduc…
  openalex Noel Ayoub, Anaïs Rameau, Michael Brenner, Andrés M. Bur 等 2024-12-12 置信度 0.72 OtorhinolaryngologyTransformative learningTransparency (behavior)MedicineHealth care
• Significance of machine learning in healthcare: Features, pillars and applications
  Machine Learning (ML) applications are making a considerable impact on healthcare. ML is a subtype of Artificial Intelligence (AI) technology that aims to improve the speed and accuracy of physicians' work. Countries are currently dealing with an overburdened …
  openalex Mohd Javaid, Abid Haleem, Ravi Pratap Singh, Rajiv Suman 等 2022-01-01 置信度 0.72 Health careBig dataEconomic shortageComputer scienceHealthcare system
• Artificial Intelligence in Neuroendovascular Procedures
  Recent advances in artificial intelligence (AI) have significantly transformed neuroendovascular procedures, offering innovative solutions for image analysis, procedural assistance, and clinical decision-making. This review examines the current state and futur…
  openalex Kenichi Kono 2025-01-01 置信度 0.72 MedicineMedical physics
• The Rise of Transformers – Redefining the Landscape of Artificial Intelligence
  The 2017 paper 'Attention Is All You Need' by Vaswani et al. marked a major paradigm shift in AI. Rather than clinging to tired methods like recurrence or convolutions, its Transformer design boldly flipped the script melding self-attention into a fresh take t…
  openalex Nyagong Santino David Ladu, Benson Turyasingura, Byamukama Willbroad, Abraham Atuhaire 2025-04-22 置信度 0.72 TransformerArtificial intelligenceComputer scienceEngineeringArchitectural engineering
• Artificial Intelligence-Enhanced Liquid Biopsy and Radiomics in Early-Stage Lung Cancer Detection: A Precision Oncology Paradigm
  BACKGROUND: Lung cancer remains the leading cause of cancer-related mortality globally, largely due to delayed diagnosis in its early stages. While conventional diagnostic tools like low-dose CT and tissue biopsy are routinely used, they suffer from limitation…
  openalex Swathi Priya Cherukuri, Anmolpreet Kaur, Bipasha Goyal, Hanisha Reddy Kukunoor 等 2025-09-29 置信度 0.72 RadiomicsLiquid biopsyMedicineLung cancerPrecision oncology
• Reliability of Artificial Intelligence-Assisted Cephalometric Analysis. A Pilot Study
  Recently, Artificial Intelligence (AI) has spread in orthodontics, in particular within cephalometric analysis, where computerized digital software is able to provide linear-angular measurements upon manual landmark identification. A step forward is constitute…
  openalex Anna Alessandri‐Bonetti, Linda Sangalli, Martina Salerno, Patrizia Gallenzi 2023-01-10 置信度 0.72 LandmarkCephalometric analysisSoftwareReliability (semiconductor)Orthodontics
• Hybrid Explainable Artificial Intelligence Models for Targeted Metabolomics Analysis of Diabetic Retinopathy
  BACKGROUND: Diabetic retinopathy (DR) is a prevalent microvascular complication of diabetes mellitus, and early detection is crucial for effective management. Metabolomics profiling has emerged as a promising approach for identifying potential biomarkers assoc…
  openalex Fatma Hilal Yağın, Cemil Çolak, Abdulmohsen Algarni, Yasin Görmez 等 2024-06-27 置信度 0.72 Diabetic retinopathyMetabolomicsComputer scienceArtificial intelligenceComputational biology
• Evaluation of the Medical Artificial Intelligence Readiness Status of Medical Faculty Students
  Aim: This study aims to evaluate the readiness status of medical faculty students regarding medical artificial intelligence and to determine whether it varies according to demographic characteristics. Materials and Methods: The study population consists of med…
  openalex Fatih Denizli 2025-04-30 置信度 0.72 Medical educationPsychologyMedicine
• Ethical principles in dental healthcare: Relevance in the current technological era of artificial intelligence
  In the current technological era, dental practitioners are faced with various ethical challenges, highlighting the importance of bioethics in this healthcare discipline. The rise of artificial intelligence has recently sparked a debate regarding the privacy of…
  openalex Isha Duggal, Tulika Tripathi 2024-04-13 置信度 0.72 BioethicsRelevance (law)Engineering ethicsHealth careDental care
• The Right to Transparency in Public Governance: Freedom of Information and the Use of Artificial Intelligence by Public Agencies
  What information should and can be transparent for artificial intelligence (AI) algorithms? This article examines the socio-technical and legal perspectives of transparency in relation to algorithmic decision-making in public administration. We show how transp…
  openalex Henrik Palmer Olsen, Thomas Hildebrandt, Cornelius Wiesener, Matthias Smed Larsen 等 2023-11-20 置信度 0.72 Transparency (behavior)Freedom of informationCorporate governancePublic informationBusiness
• Optimizing Nursing Productivity: Exploring the Role of Artificial Intelligence, Technology Integration, Competencies, and Leadership
  Background: In the rapidly evolving healthcare management landscape, technology integration and artificial intelligence utilization play pivotal roles in shaping employee productivity. This research investigates these dynamics within Riyadh Province, Kingdom o…
  openalex Atallah Alenezi, Mohammed Hamdan Alshammari, Ibrahim Abdullatif Ibrahim 2024-01-01 置信度 0.72 ProductivityWorkforceKnowledge managementHealth careBusiness
• Deep Learning Approaches for Medical Image Analysis and Diagnosis
  In addition to enhancing diagnostic accuracy, deep learning techniques offer the potential to streamline workflows, reduce interpretation time, and ultimately improve patient outcomes. The scalability and adaptability of deep learning algorithms enable their d…
  openalex Gopal Kumar Thakur, Abhishek Thakur, Shridhar Kulkarni, Naseebia Khan 等 2024-05-02 置信度 0.72 Artificial intelligenceComputer scienceDeep learningImage (mathematics)
• Applications of artificial intelligence in interventional oncology: An up-to-date review of the literature
  Interventional oncology provides image-guided therapies, including transarterial tumor embolization and percutaneous tumor ablation, for malignant tumors in a minimally invasive manner. As in other medical fields, the application of artificial intelligence (AI…
  openalex Yusuke Matsui, Daiju Ueda, Shohei Fujita, Yasutaka Fushimi 等 2024-10-02 置信度 0.72 MedicineMedical physicsApplications of artificial intelligenceRadiation oncologyRadiomics
• Artificial Intelligence and Deep Learning in Sensors and Applications
  To effectively solve the increasingly complex problems experienced by human beings, the latest development trend is to apply a large number of different types of sensors to collect data in order to establish effective solutions based on deep learning and artif…
  openalex Shyan‐Ming Yuan, Zeng‐Wei Hong, Wai Khuen Cheng 2024-05-20 置信度 0.72 Deep learningArtificial intelligenceComputer scienceEngineering
• Representation of intensivists’ race/ethnicity, sex, and age by artificial intelligence: a cross-sectional study of two text-to-image models
  BACKGROUND: Integrating artificial intelligence (AI) into intensive care practices can enhance patient care by providing real-time predictions and aiding clinical decisions. However, biases in AI models can undermine diversity, equity, and inclusion (DEI) effo…
  openalex Mia Gisselbaek, Mélanie Suppan, Laurens Minsart, Ekin Köselerli 等 2024-11-11 置信度 0.72 MedicineCross-sectional studyEthnic groupRace (biology)Representation (politics)
• Challenges and opportunities to integrate artificial intelligence in radiation oncology: a narrative review
  Artificial intelligence (AI) is rapidly transforming various medical fields, including radiation oncology. This review explores the integration of AI into radiation oncology, highlighting both challenges and opportunities. AI can improve the precision, efficie…
  openalex C. Jeong, Y. M. Goh, Jungwon Kwak 2024-09-12 置信度 0.72 Radiation oncologyStandardizationMedical physicsInteroperabilityComputer science