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• SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation
  openalex Wenhui Zhu, Xiwen Chen, Peijie Qiu, Mohammad Farazi 等 2024-01-01 置信度 0.72 Computer scienceImage segmentationImage (mathematics)SegmentationArtificial intelligence
• Artificial Intelligence Applications in Obstetric Risk Prediction: A Systematic Review of Machine Learning Models for Preeclampsia
  Preeclampsia remains a leading cause of maternal and perinatal morbidity and mortality worldwide. While traditional prediction models have shown limited accuracy, machine learning (ML) approaches offer promising alternatives by handling complex, non-linear rel…
  openalex Nagla Osman Mohamed Dkeen, Madina Eltayeb Dawelbait Radwan, Israa Ali Alnaw Zumam, Nihal Ahmed Abd Elfrag Mohamed 等 2025-05-12 置信度 0.72 MedicinePreeclampsiaArtificial intelligenceMachine learningPregnancy
• Applications of Machine Learning and Artificial Intelligence in Tropospheric Ozone Research
  Abstract. Machine learning (ML) is transforming atmospheric chemistry, offering powerful tools to address challenges in tropospheric ozone research, a critical area for climate resilience and public health. As in adjacent fields, ML approaches complement exist…
  openalex Sebastian Hickman, Makoto Kelp, Paul T. Griffiths, Kelsey Doerksen 等 2025-11-20 置信度 0.72 Tropospheric ozoneEmulationEnvironmental scienceOzoneOzone layer
• Artificial Intelligence-enabled smart grid systems for real-time load forecasting, fault detection, renewable energy integration and optimization
  The global energy landscape is undergoing rapid transformation, driven by increasing electricity demand, decarbonization goals, and the integration of renewable energy resources. Traditional power systems, characterized by centralized operations and limited re…
  openalex Abdulrahman Adebola Iyaniwura, Charles Sunday Mayaki 2025-09-17 置信度 0.72 Smart gridRenewable energyComputer scienceDistributed computingElectric power system
• Artificial Intelligence in Digestive Endoscopy Training—The Past, Present, and Future
  BACKGROUND AND OBJECTIVE: Artificial intelligence (AI) is reshaping gastrointestinal endoscopy, yet its role in training remains unexplored. This narrative review summarizes current evidence on AI-assisted endoscopy training, addresses potential drawbacks, and…
  openalex Jacky C. L. Ho, Zhouyao Qian, Louis Ho Shing Lau, Hon Chi Yip 等 2025-10-26 置信度 0.72 MedicineEndoscopyMedical physicsMEDLINERadiology
• Artificial intelligence in osteoarthritis research: summary of the 2025 OARSI pre-congress workshop
  Objective: Artificial intelligence (AI) is transforming musculoskeletal research, offering new approaches to diagnosis, prognosis, and patient management in osteoarthritis (OA). However, implementation and ethical challenges persist. This manuscript summarizes…
  openalex Matthew S. Harkey, K.E. Costello, Bella Mehta, Chunyi Wen 等 2025-09-23 置信度 0.72 Leverage (statistics)PsychologyArtificial intelligenceApplications of artificial intelligenceComputer science
• Artificial Intelligence in Placental Pathology: New Diagnostic Imaging Tools in Evolution and in Perspective
  Artificial intelligence (AI) has emerged as a transformative tool in placental pathology, offering novel diagnostic methods that promise to improve accuracy, reduce inter-observer variability, and positively impact pregnancy outcomes. The primary objective of …
  openalex Antonio d’Amati, Giorgio Maria Baldini, Tommaso Difonzo, Angela Santoro 等 2025-04-03 置信度 0.72 Computer scienceDigital pathologyArtificial intelligenceData scienceTransparency (behavior)
• Breast Cancer Diagnosis With Explainable Artificial Intelligence (XAI): Uncovering Strengths and Biases
  Breast cancer is one of the most common malignancies afflicting women globally, necessitating the use of cutting-edge AI approaches in diagnostic procedures to improve patient outcomes drastically. However, one key difficulty with the most recent AI models is …
  openalex Samita Bai, Sidra Nasir, Rizwan Ahmed Khan, Alexandre Meyer 等 2025-01-01 置信度 0.72 Computer scienceArtificial intelligenceBreast cancerTransparency (behavior)Machine learning
• Artificial Intelligence‐Based Detection of Central Retinal Artery Occlusion Within 4.5 Hours on Standard Fundus Photographs
  BACKGROUND: Prompt diagnosis of acute central retinal artery occlusion (CRAO) is crucial for therapeutic management and stroke prevention. However, most stroke centers lack onsite ophthalmic expertise before considering fibrinolytic treatment. This study aimed…
  openalex Ayse Gungor, Ilias Sarbout, Aubrey L. Gilbert, Steffen Hamann 等 2025-06-27 置信度 0.72 MedicineCentral retinal artery occlusionFundus (uterus)OphthalmologyStroke (engine)
• Artificial intelligence for the science of evidence synthesis: how good are AI-powered tools for automatic literature screening?
  BACKGROUND: Literature screening constitutes a critical component in evidence synthesis; however, it typically requires substantial time and human resources. Artificial intelligence (AI) has shown promise in this field, yet the accuracy and effectiveness of AI…
  openalex Minghao Ruan, Junhao Fan, Mingkai Liu, Zhefeng Meng 等 2025-08-25 置信度 0.72 Computer scienceData scienceMEDLINEArtificial intelligencePsychology
• The Expanding Role of Artificial Intelligence in Modern Dentistry
  Artificial Intelligence (AI) is rapidly transforming various sectors, and dentistry is no exception.This paper explores the expanding role of AI in modern dental practice, examining its applications in diagnosis, treatment planning, and patient care.AI-powered…
  openalex Omid Panahi 2025-02-12 置信度 0.72 DentistryPsychologyMedicine
• Explainable artificial intelligence in the talent recruitment process-a literature review
  With the widespread application of artificial intelligence in talent recruitment, the ‘black-box’ nature of AI, which leads to insufficient transparency and interpretability in decision-making, has gradually become a key challenge. This paper reviews the appli…
  openalex Gening Zhang, Lin Pan, Fang Tang, Feng Yao 2025-10-13 置信度 0.72 InterpretabilityTransparency (behavior)Knowledge managementComputer scienceArtificial intelligence
• Research That Matters: A Call for Enhancing Rigour and Relevance in Artificial Intelligence Research in Endodontics
  Artificial intelligence (AI) is emerging as a powerful tool in dentistry, where endodontics can benefit significantly from its potential applications. From enhanced diagnostic accuracy to treatment planning and decision-making, optimisation, and outcome predic…
  openalex Hossein Mohammad‐Rahimi, Rishi Sanjay Ramani, Frank Setzer, Falk Schwendicke 等 2026-01-08 置信度 0.72 RigourEndodonticsRelevance (law)Field (mathematics)Engineering ethics
• Man, or Machine? Artificial Intelligence Language Systems in Plastic Surgery
  Artificial intelligence (AI) language models are computer programs trained to understand and generate human-like text. The latest AI language models available to the public have impressive language generation capability with immediate applications in both acad…
  openalex Jose Palacios, Nicholas Bastidas 2023-06-22 置信度 0.72 MedicineLeverage (statistics)Language modelArtificial intelligenceComputer science
• Exploring the experiences and perceptions of nursing students in utilizing artificial intelligence: a descriptive phenomenological study
  BACKGROUND: Artificial intelligence is transforming healthcare by enhancing diagnostics, efficiency, and outcomes. Evaluating nursing students' knowledge helps identify educational gaps, as they directly engage in patient care and decision-making. This study e…
  openalex Maysam Safari Nezhad, Alireza Abdi, Mahnaz Ahmadi 2025-07-01 置信度 0.72 Nursing managementNursing researchPerceptionDescriptive researchNursing
• Artificial intelligence in conformance checking: state of the art and research agenda
  Artificial intelligence methods have gained increasing importance in business process management in recent years. In particular, artificial intelligence boosted the development of process mining techniques, with predictive process monitoring being one prominen…
  openalex Laura Genga, Karolin Winter 2025-05-22 置信度 0.72 Conformance testingState (computer science)Computer sciencePolitical scienceArtificial intelligence
• Explainable Artificial Intelligence in Echocardiography
  Recent advancements in artificial intelligence (AI) have generated novel opportunities and challenges in ultrasound imaging. Deep learning algorithms exhibit significant potential in analyzing echocardiographic images, encompassing tasks such as view classific…
  openalex Xinghong Hu, Ye Zhu, Zisang Zhang, Yuanting Quan 等 2025-11-10 置信度 0.72 Artificial intelligenceTransparency (behavior)Computer scienceApplications of artificial intelligenceMachine learning
• Application of artificial intelligence in the development of personalized sports injury rehabilitation plan
  Sports injury rehabilitation is a kind of physical treatment used to address musculoskeletal system disorders, injuries, and discomfort in patients of all ages. Sports rehabilitation promotes health and fitness, aids in injury recovery, and lessens pain throug…
  openalex Chao Zhan 2024-09-26 置信度 0.72 RehabilitationPlan (archaeology)Physical medicine and rehabilitationSports injuryArtificial intelligence
• Empathy, Ethics and Efficacy: The 3Es of Implementing Artificial Intelligence for Consumer Encounters
  ABSTRACT Drawing insights from virtue ethics and psychological perspectives on empathy, we propose a framework for integrating empathy, ethics, and efficacy (3E) to guide the responsible development and deployment of artificial intelligence (AI) technologies i…
  openalex Kyoko Fukukawa, Rohit H. Trivedi 2025-05-20 置信度 0.72 EmpathySoftware deploymentKnowledge managementEngineering ethicsService (business)
• Artificial Intelligence for Multiscale Spatial Analysis in Oncology: Current Applications and Future Implications
  Artificial intelligence (AI) and its machine learning and deep learning algorithms have shown promise in oncological practice. Spatial information analysis in the context of cancer is crucial for its diagnosis and treatment because it can provide an understand…
  openalex Ali A. Tarhini, Issam El Naqa 2025-08-19 置信度 0.72 Context (archaeology)Digital pathologyComputer scienceData scienceArtificial intelligence
• Exploring the Role of Artificial Intelligence in Evidence Synthesis: Insights From the CORE Information Retrieval Forum 2025
  ABSTRACT Introduction Information retrieval is essential for evidence synthesis, but developing search strategies can be labor‐intensive and time‐consuming. Automating these processes would be of benefit and interest, though it is unclear if Information Specia…
  openalex Claire Eastaugh, Madeleine Still, Fiona Beyer, S Wallace 等 2025-09-01 置信度 0.72 Computer scienceTransparency (behavior)Core (optical fiber)Data scienceWork (physics)
• Development and Validation of Artificial Intelligence Addiction Scale for Researchers: A Methodological Study
  Background The integration of artificial intelligence (AI) tools into research has brought significant advancements, enhancing efficiency, innovation, and productivity across various academic disciplines. However, alongside these transformative benefits, the g…
  openalex Ahmed Abdelwahab Ibrahim El-Sayed, Samira Ahmed Alsenany, Maha Gamal Ramadan Asal, Ibrahim Alasqah 2025-01-01 置信度 0.72 AddictionPsychologyScale (ratio)Behavioral addictionPsychometrics
• Rethinking Artificial Intelligence (AI) in Qualitative Research
  Artificial intelligence (AI) is increasingly being integrated into qualitative research. While AI provides tools that claim to promise greater efficiency and productivity, it also raises vital concerns about methodological integrity, ethical conduct, and the m…
  openalex Nurul Akma Jamil, Nor’ain Abdul Rashid, Woei Ling Tan 2025-07-31 置信度 0.72 Artificial intelligenceComputer sciencePsychologyCognitive science
• Digital Transformation in Healthcare 4.0: Critical Factors for Business Intelligence Systems
  The health sector is one of the most knowledge-intensive and complicated globally. It has been proven repeatedly that Business Intelligence (BI) systems in the healthcare industry can help hospitals make better decisions. Some studies have looked at the usage …
  openalex Fotis Kitsios, Νικόλαος Καπετανέας 2022-05-12 置信度 0.72 Software deploymentHealth careKnowledge managementBusinessProcess (computing)
• Artificial intelligence-driven pathomics in hepatocellular carcinoma: current developments, challenges and perspectives
  Hepatocellular carcinoma (HCC) is a highly malignant tumor with elevated incidence and mortality rates globally. Its complex etiology and pronounced heterogeneity present significant challenges in diagnosis and treatment. Recent advancements in artificial inte…
  openalex Wei Ding, Jin-Xing Zhang, Zhi‐Cheng Jin, Hongjin Hua 等 2025-07-28 置信度 0.72 Hepatocellular carcinomaCurrent (fluid)MedicineEngineeringInternal medicine
• Exploring University Staff’s Perceptions of Using Generative Artificial Intelligence at University
  This study aimed to understand university staff’s perspectives and approaches regarding students’ use of generative artificial intelligence (GenAI) in an academic setting. Currently, there is a lack of social media analyses exploring this area. For the present…
  openalex M. Whitbread, Charles A. Hayes, Sundaresan Prabhakar, Rebecca Upsher 2025-03-16 置信度 0.72 PerceptionMathematics educationComputer sciencePublic universityGenerative grammar
• Artificial intelligence for breast cancer management
  Artificial intelligence is transforming breast cancer management through various machine learning applications. Artificial intelligence supports precision medicine by enhancing detection, diagnosis, prognosis, and treatment response prediction. It achieves thi…
  openalex Bryan Nicholas Chua, Dexter Kai Hao Thng, Tan Boon Toh, Dean Ho 2026-01-03 置信度 0.72 Breast cancerMedicineApplications of artificial intelligenceArtificial intelligencePrecision medicine
• Artificial intelligence-based models for quantification of intra-pancreatic fat deposition and their clinical relevance: a systematic review of imaging studies
  High intra-pancreatic fat deposition (IPFD) plays an important role in diseases of the pancreas. The intricate anatomy of the pancreas and the surrounding structures has historically made IPFD quantification a challenging measurement to make accurately on radi…
  openalex Tej Joshi, John Virostko, Maxim S. Petrov 2025-07-19 置信度 0.72 MedicineArtificial intelligenceSegmentationRelevance (law)Confidence interval
• Insights and Innovations of Artificial Intelligence in Healthcare and Public Health: A Bibliometric Analysis
  openalex Hamza Ettadili, Tahmineh Darvishmohammadi 2025-12-19 置信度 0.72 Big dataHealth careTransformative learningCloud computingData science
• Artificial Intelligence in Anaesthesiology: Current Applications, Challenges, and Future Directions
  Artificial intelligence (AI) is rapidly transforming anaesthesiology through advances in machine learning, deep learning, and large language models. AI-driven tools now contribute to nearly every phase of perioperative care, including preoperative risk stratif…
  openalex Burhan Dost, Engin İhsan Turan, Muhammed Enes Aydın, Ali Ahişkalıoğlu 等 2025-12-15 置信度 0.72 WorkflowPerioperativeIdentification (biology)Artificial intelligenceIntensive care medicine
• The Role of Artificial Intelligence and Machine Learning in Polymer Characterization: Emerging Trends and Perspectives
  The application of artificial intelligence (AI) and machine learning (ML) is rapidly expanding and has begun to make a significant impact on polymer development and characterization. This perspective article explores the current state of AI in this field and h…
  openalex Rick S. van den Hurk, Bob W.J. Pirok, Tijmen S. Bos 2025-04-04 置信度 0.72 Characterization (materials science)AutomationArtificial intelligenceField (mathematics)Applications of artificial intelligence
• Translating ophthalmic medical jargon with artificial intelligence: a comparative comprehension study
  OBJECTIVE: Our goal was to evaluate the efficacy of OpenAI's ChatGPT-4.0 large language model (LLM) in translating technical ophthalmology terminology into more comprehensible language for allied health care professionals and compare it with other LLMs. DESIGN…
  openalex Michael Balas, Alexander Kaplan, Kaisra Esmail, Solin Saleh 等 2024-12-09 置信度 0.72 JargonComprehensionComputer scienceArtificial intelligenceNatural language processing
• Applications of Artificial Intelligence for Metastatic Gastrointestinal Cancer: A Systematic Literature Review
  BACKGROUND/OBJECTIVES: This systematic literature review examines the application of Artificial Intelligence (AI) in the diagnosis, treatment, and follow-up of metastatic gastrointestinal cancers. METHODS: The databases PubMed, Scopus, Embase (Ovid), and Googl…
  openalex Amin Naemi, Ashkan Tashk, Amir Sorayaie Azar, Tahereh Samimi 等 2025-02-06 置信度 0.72 Generalizability theoryInterpretabilityArtificial intelligenceMedicineData extraction
• International Standardization Safe to Use of Artificial Intelligence
  Nowadays, the symbiosis of human abilities and the mastery of artificial intelligence will contribute to increased productivity and excellence in industry and social services. The use of artificial intelligence in various fields requires standardization of the…
  openalex Evgeniy Bryndin 2025-05-12 置信度 0.72 StandardizationInternational standardizationComputer scienceArtificial intelligenceOperating system
• The role of large language models in the peer-review process: opportunities and challenges for medical journal reviewers and editors
  The peer review process ensures the integrity of scientific research. This is particularly important in the medical field, where research findings directly impact patient care. However, the rapid growth of publications has strained reviewers, causing delays an…
  openalex Jisoo Lee, Jieun Lee, Jeong‐Ju Yoo 2025-01-15 置信度 0.72 ConfidentialityProcess (computing)Computer sciencePeer reviewQuality (philosophy)
• eHealth literacy and attitudes towards use of artificial intelligence among university students in the United Arab Emirates, a cross-sectional study
  Introduction: With the rapid digitalization of healthcare information and the increasing dependability on online health resources, it has become crucial to understand digital health literacy and the use of emerging AI technologies like ChatGPT among stakeholde…
  openalex Zufishan Alam, Aminu S. Abdullahi, Shamma Nayea Salem Alnuaimi, Hanouf Abubaker Al Shaka 等 2025-09-04 置信度 0.72 eHealthCross-sectional studyLiteracyMedical educationHealth literacy
• Let's Have a Chat: How Well Does an Artificial Intelligence Chatbot Answer Clinical Infectious Diseases Pharmacotherapy Questions?
  Background: It is unknown whether ChatGPT provides quality responses to infectious diseases (ID) pharmacotherapy questions. This study surveyed ID pharmacist subject matter experts (SMEs) to assess the quality of ChatGPT version 3.5 (GPT-3.5) responses. Method…
  openalex Wesley D. Kufel, Kathleen D Hanrahan, Robert W. Seabury, Katie A Parsels 等 2024-10-25 置信度 0.72 MedicinePharmacotherapyChatbotArtificial intelligencePsychiatry
• Artificial Intelligence in Logistics and Distribution: The function of AI in dynamic route planning for transportation, including self-driving trucks and drone delivery systems
  Artificial Intelligence (AI) is revolutionizing logistics and distribution by enhancing efficiency, reducing costs, and improving the overall delivery experience. One of the key applications of AI in this sector is dynamic route optimization, where machine lea…
  openalex Yetunde Adeoye, ERUMUSELE FRANCIS ONOTOLE, Tunde Ogunyankinnu, Godwin Aipoh 等 2025-02-05 置信度 0.72 TruckDroneFunction (biology)Transport engineeringSelf driving
• The Role of Artificial Intelligence in the Diagnosis and Management of Diabetic Retinopathy
  Background/Objectives: Diabetic retinopathy (DR) is a progressive microvascular complication of diabetes mellitus and a leading cause of vision impairment worldwide. Early detection and timely management are critical in preventing vision loss, yet current scre…
  openalex A Ansari, Nabiha Midhat Ansari, Usman Khalid, Daniel Markov 等 2025-07-20 置信度 0.72 MedicineDiabetic retinopathyRetinopathyIntensive care medicineOphthalmology
• Machine-assisted quantitizing designs: augmenting humanities and social sciences with artificial intelligence
  The increasing capacities of large language models (LLMs) have been shown to present an unprecedented opportunity to scale up data analytics in the humanities and social sciences, by automating complex qualitative tasks otherwise typically carried out by human…
  openalex Andres Karjus 2023-09-24 置信度 0.72 Computer scienceData scienceArtificial intelligenceNatural language processingAnalytics
• From data to artificial intelligence: evaluating the readiness of gastrointestinal endoscopy datasets
  The incorporation of artificial intelligence (AI) into gastrointestinal (GI) endoscopy represents a promising advancement in gastroenterology. With over 40 published randomized controlled trials and numerous ongoing clinical trials, gastroenterology leads othe…
  openalex Sami Elamin, Shreya Johri, Pranav Rajpurkar, Enrik Geisler 等 2025-02-21 置信度 0.72 EndoscopyMedicineCapsule endoscopyGeneralizability theoryClinical trial
• Frankenstein, thematic analysis and generative artificial intelligence: Quality appraisal methods and considerations for qualitative research
  OBJECTIVE: To determine accuracy and efficiency of using generative artificial intelligence (GenAI) to undertake thematic analysis. INTRODUCTION: With the increasing use of GenAI in data analysis, testing the reliability and suitability of using GenAI to condu…
  openalex Tanisha Jowsey, Peta Stapleton, Shawna Campbell, Alexandra Davidson 等 2025-09-05 置信度 0.72 Thematic analysisThematic mapQualitative researchGenerative grammarQuality (philosophy)
• Matrix of technical solutions based on artificial intelligence in the professional training of future lawyers
  Importance. The current stage of technological development of society is characterized by the intensive integration of artificial intelligence (AI) technologies into professional spheres. AI-based technical solutions make it possible to automate some routine p…
  openalex Pavel V. Sysoyev, M. V. Gavrilov, Stanislav Yu. Bulochnikov 2025-07-02 置信度 0.72 Training (meteorology)Matrix (chemical analysis)Artificial intelligenceComputer scienceEngineering management
• Authors, wordsmiths and ghostwriters: Early career researchers' responses to artificial intelligence
  Abstract Presents the results of a study of the impact of artificial intelligence on early career researchers (ECRs). An important group to study because their millennial mindset may render them especially open to AI. We provide empirical data and a validity c…
  openalex David Clark, David Nicholas, Marzena Świgoń, Abdullah Abrizah 等 2024-12-24 置信度 0.72 PsychologyEngineering ethicsEngineering
• Advancing the modernization of traditional Chinese medicine through artificial intelligence and multimodal data integration
  Traditional Chinese Medicine (TCM) is a valuable medical treasure trove that not only demonstrated unique advantages in treating complex and refractory diseases but also left behind a rich legacy of ancient texts and valuable evidence-based medical data based …
  openalex Pengfei Guo, Mengmeng Jiang, Shaowu Hu, Qianqian Jiang 等 2026-01-26 置信度 0.72 Modernization theoryBig dataComputer scienceArtificial intelligenceData science
• Integration of Artificial Intelligence and Robotics into the industrial sector
  The 4th industrial revolution is driven by the implementation of automated robots and artificial intelligence (AI) to enhance efficiency, accuracy, and safety. This integration encompasses several vital domains like optimizing the supply chain, interaction bet…
  openalex Vugar Abdullayev, Ajesh Faizal, Irada Seyidova, Seymur Mikayilov 等 2025-01-14 置信度 0.72 RoboticsArtificial intelligenceEngineeringComputer scienceRobot
• Artificial Intelligence in Climate Change Mitigation and Adaptation: A Review of Emerging Technologies and Real-World Applications
  Artificial Intelligence (AI) is increasingly recognized as a transformative tool in addressing the dual imperatives of climate change mitigation and adaptation. This review provides a comprehensive synthesis of the current state of AI applications that contrib…
  openalex Favour N. Eze, Adepeju Nafisat Sanusi, lsrael Jonathan Iheoma, Chijioke Cyriacus Ekechi 等 2025-08-29 置信度 0.72 Adaptation (eye)Climate changeClimate change adaptationEmerging technologiesEnvironmental resource management
• Bridging technology and medicine: artificial intelligence in targeted anticancer drug delivery
  The integration of artificial intelligence (AI) in targeted anticancer drug delivery represents a significant advancement in oncology, offering innovative solutions to enhance the precision and effectiveness of cancer treatments. This review explores the vario…
  openalex Danial Khorsandi, Amin Farahani, Atefeh Zarepour, Arezoo Khosravi 等 2025-01-01 置信度 0.72 Bridging (networking)Anticancer drugDrug deliveryDrugTargeted drug delivery
• Artificial Intelligence and English as a Foreign Language (EFL) Teachers’ Competencies: A Systematic Review
  The integration of Artificial Intelligence (AI) into English as a Foreign Language (EFL) education has transformed teaching practices, necessitating a re-evaluation of teacher competencies in the digital age. This systematic review examines the intersection of…
  openalex Rukthin Laoha, Wichittra Chomthong, Weerapa Pongpanich 2025-07-20 置信度 0.72 PsychologyEnglish as a foreign languageMathematics educationForeign languageEnglish language
• Advances in cardiac devices and bioelectronics augmented with artificial intelligence
  Diagnostic bioelectronics such as the electrocardiogram have become increasingly prevalent in the management of cardiovascular diseases like atrial fibrillation. While these devices provide meaningful clinical value, their complex and profuse data output requi…
  openalex Charles J. Stark, Eric Rytkin, A. Mircéa, Igor R. Efimov 2025-07-22 置信度 0.72 BioelectronicsNeuroprostheticsNeuroscienceNanotechnologyComputer science
• The use of artificial intelligence in public administration: Bibliometric analysis
  Artificial intelligence in public administration is critical for the modernization of the public sector and adaptation to the challenges of modern society. The paper analyzes studies dedicated to the impact of artificial intelligence on the efficiency, innovat…
  openalex Іhor Rekunenko, Яна Кобушко, Oleksii Dzydzyguri, Іnna Balahurovska 等 2025-02-12 置信度 0.72 ScopusPublicationIndex (typography)BibliometricsComputer science
• The long journey of artificial intelligence in medicine: an overview
  Artificial intelligence (AI) has its roots in the history of philosophy and of applied mathematics of the 17th, 18th and 19th centuries. Throughout the 20th century, significant advancements in mathematics and computer science laid the groundwork for modern AI…
  openalex Enzo Grossi 2025-05-08 置信度 0.72 MedicineMEDLINEPolitical scienceLaw
• Artificial intelligence in immunotherapy: revolutionizing diagnostic and therapeutic applications in cancer and autoimmune diseases
  Artificial intelligence (AI) is increasingly advancing precision immunotherapy by integrating high-dimensional biomedical data to support diagnosis, treatment selection, and longitudinal monitoring in both cancer and autoimmune diseases. This review summarizes…
  openalex Jamal Alshorman, Mohammad Javad Mehran, Yadollah Bahrami, Sara Mohammadzadeh 等 2026-03-06 置信度 0.72 MedicineCancerHematologyIntensive care medicineMedical physics
• ESCMID workshop: Artificial intelligence and machine learning in medical microbiology diagnostics
  Rapid advancements in artificial intelligence (AI) and machine learning (ML) offer significant potential to transform medical microbiology diagnostics, improving pathogen identification, antimicrobial susceptibility prediction and outbreak detection. To addres…
  openalex Mariella Greutmann, Karsten Borgwardt, Sarah C. Brüningk, Fabian Franzeck 等 2025-09-05 置信度 0.72 Artificial intelligenceAutomationMachine learningClinical microbiologyPanel discussion
• Understanding the Artificial Intelligence Revolution and its Ethical Implications
  Recent artificial intelligence (AI) advancements have precipitated profound ethical deliberations and societal concerns. These developments redefine the parameters of technology's role in our daily lives and challenge our understanding of ethics in the context…
  openalex Amin Beheshti, Ian Kerridge 2025-08-14 置信度 0.72 Medical lawEngineering ethicsPsychologyEpistemologyPolitical science
• Proposing core competencies for physicians in using artificial intelligence tools in clinical practice
  Artificial intelligence (AI) will likely transform many aspects of healthcare, and physicians will need to adapt and lead. The expanding range of AI tools calls for physicians to become competent in their proper use if we are to achieve better patient experien…
  openalex Ian Scott, Tim Shaw, Christine Slade, Tai Tak Wan 等 2025-06-27 置信度 0.72 MedicineCore competencyMedical educationCore (optical fiber)Clinical Practice
• Artificial Intelligence in Frontline Service Encounters: A Systematic Review and Research Agenda
  ABSTRACT Over recent years, the proliferation of artificial intelligence (AI) has enabled businesses worldwide to employ AI‐driven service agents to deliver frontline services to their customers. This paradigm shift has also increased scholarly attention to co…
  openalex Sneha Rose George, C Manu, Manoj Edward 2025-04-17 置信度 0.72 Service (business)SociologyPsychologyKnowledge managementEngineering ethics
• Integrating artificial intelligence and machine learning with numerical simulation for enhanced thermal performance of ternary nanofluid
  Abstract The motivation for this investigation stems from a perceived gap in the vast literature on nanofluids, specifically in relation to their interactions with different surfaces and their numerical simulation. The main objective of this study is to effect…
  openalex Mohib Hussain, Lin Du, Hassan Waqas, Qasem M. Al‐Mdallal 2025-04-15 置信度 0.72 Ternary operationNano-Artificial intelligenceMaterials scienceThermal
• Artificial Intelligence (AI) in Nursing Services: A Literature Review
  Research on artificial intelligence (AI) in health services is increased in recent decades, demonstrating great potential for improving the quality of care. However, the application of AI in nursing raises concerns regarding data bias and the potential impacts…
  openalex Moh Heri Kurniawan, Hanny Handiyani, Tuti Nuraini, Rr. Tutik Sri Hariyati 2023-04-11 置信度 0.72 ScopusNursingObservational studyNursing researchQuality (philosophy)
• Evolving surgical teams in the age of artificial intelligence and robotics
  Surgery is a critical function of the healthcare system, key to addressing a substantial portion of the global disease burden. The integration of advanced artificial intelligence (AI) and robotics ecosystems into the operating room (OR) promises to radically t…
  openalex Alejandro Granados, Raghav Khanna, Nikola Fischer, Nicholas Raison 等 2026-05-07 置信度 0.72 RoboticsArtificial intelligenceWorkflowApplications of artificial intelligenceHealth care
• Factors Contributing to Higher Education Students' Acceptance of Artificial Intelligence: A Systematic Review
  The rapid integration of artificial intelligence (AI) technologies into the field of higher education is causing widespread public discourse. However, existing research is fragmented and lacks systematic synthesis, which limits understanding of how college and…
  openalex Dinara Farhatovna Mukhamedkarimova, Madina Maximovna Umurkulova 2025-09-24 置信度 0.72 Higher educationContext (archaeology)PsychologyInclusion (mineral)Systematic review
• The Role of Artificial Intelligence in Advancing Theranostics Dosimetry for Cancer Therapy: a Review
  Cancer treatment has greatly benefited from advancements in radiopharmaceutical therapy, which requires precise dosimetry to enhance therapeutic efficacy and minimize risks to healthy tissues. This review investigated the role of artificial intelligence (AI) i…
  openalex Sang‐Keun Woo 2025-08-23 置信度 0.72 MedicineMedical physicsDosimetryCancerCancer therapy
• Towards semantically enriched embeddings for knowledge graph completion
  Embedding based Knowledge Graph (KG) completion has gained much attention over the past few years. Most of the current algorithms consider a KG as a multidirectional labeled graph and lack the ability to capture the semantics underlying the schematic informati…
  crossref Mehwish Alam, Frank van Harmelen, Maribel Acosta 2024-08-23T11:32:22Z 置信度 0.70
• Hybrid Artificial Intelligence-Based Approaches for Rainfall Forecasting
  Predicting rainfall is one of the most difficult and important aspects of the hydrologic cycle. This is mostly because it exhibits dynamics that are variable across a great range of time and space scales. Flash flooding, which is the result of heavy rain, is a…
  crossref Arvind Yadav, Jiya Singh, Jayshree, Devendra Joshi 等 2025-10-30T17:57:59Z 置信度 0.70
• Pixels to Prognosis: Using Deep Learning to Rethink Cardiac Risk Prediction from CT Angiography
  Rohit Reddy, MD, is a resident in interventional and diagnostic radiology at the
  crossref Rohit Reddy 2025-05-28T13:51:49Z 置信度 0.70
• Improving Treatment Strategies Using Artificial Intelligence
  crossref Michael Gao, Angelo Oliva, Roxana Merhan 2025-08-23T08:50:07Z 置信度 0.70
• Artificial Intelligence Literacy: Imperative for the Future or Optional Insight?
  crossref Kenan Ateşgöz 2025-10-01T00:47:47Z 置信度 0.70
• Unlocking artificial intelligence for all
  Artificial intelligence (AI) is rapidly reshaping various industries and has the potential to revolutionize the way we live, work, and interact with the world around us. However, the recent advent and integration of AI technology also brings to light the digit…
  crossref Mirjana Pejić-Bach, Josip Marić 2025-02-26T08:57:12Z 置信度 0.70
• Trust in generative artificial intelligence
  Generative artificial intelligence (GenAI) is currently one of the most rapidly advancing AI trends, capable of generating various types of content, including text, imagery, audio, and synthetic data. The number of academic studies focusing on trust in AI is g…
  crossref Xuan Tai Mai, Trang Nguyen 2025-02-26T08:57:12Z 置信度 0.70
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• Applications of artificial intelligence in acute stroke imaging
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• Artificial Intelligence-Driven Autonomous Vehicles: Current Developments and the Future Prospects
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