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• Redefining biomaterial biocompatibility: challenges for artificial intelligence and text mining
  The surge in 'Big data' has significantly influenced biomaterials research and development, with vast data volumes emerging from clinical trials, scientific literature, electronic health records, and other sources. Biocompatibility is essential in developing s…
  openalex Miguel Mateu‐Sanz, Carla V. Fuenteslópez, Juan Manuel Uribe, Håvard Jostein Haugen 等 2023-10-17 置信度 0.72 BiomaterialBiocompatibilityData scienceComputer scienceEngineering
• Artificial intelligence in cardiovascular imaging: state of the art and implications for the imaging cardiologist
  Healthcare, conceivably more than any other area of human endeavour, has the greatest potential to be affected by artificial intelligence (AI). This potential has been shown by several reports that demonstrate equal or superhuman performance in medical tasks t…
  openalex Klaske R Siegersma, Tim Leiner, Derek P. Chew, Yolande Appelman 等 2019-08-09 置信度 0.72 MedicineCardiologyMedical imagingData scienceInternal medicine
• Diagnostic Accuracy of Community-Based Diabetic Retinopathy Screening With an Offline Artificial Intelligence System on a Smartphone
  IMPORTANCE: Offline automated analysis of retinal images on a smartphone may be a cost-effective and scalable method of screening for diabetic retinopathy; however, to our knowledge, assessment of such an artificial intelligence (AI) system is lacking. OBJECTI…
  openalex Sundaram Natarajan, Astha Jain, Radhika Krishnan, Ashwini Rogye 等 2019-08-08 置信度 0.72 MedicineDiabetic retinopathyOptometryHypertensive retinopathyFundus (uterus)
• Artificial Intelligence
  openalex John H. Holmes 2023-01-01 置信度 0.72 Artificial intelligenceComputer scienceInferenceArtificial Intelligence SystemField (mathematics)
• Trends and priority shifts in artificial intelligence technology invention: A global patent analysis
  openalex Hidemichi Fujii, Shunsuke Managi 2018-01-09 置信度 0.72 Patent analysisTreatyChinaPatent applicationBusiness
• Future of education in the era of generative artificial intelligence: Consensus among Chinese scholars on applications of ChatGPT in schools
  Abstract ChatGPT is an artificial intelligence chatbot that utilizes advanced natural language processing technologies, including large language models, to produce human‐like responses to user queries spanning a wide range of topics from programming to mathema…
  openalex Ming Liu, Yiling Ren, Lucy Michael Nyagoga, Francis Stonier 等 2023-09-01 置信度 0.72 ViewpointsChatbotGenerative grammarComputer scienceKnowledge management
• Knowledge and Perception of Artificial Intelligence among Faculty Members and Students at Batterjee Medical College
  Background: Mounting research suggests that artificial intelligence (AI) is one of the innovations that aid in the patient's diagnosis and treatment, but unfortunately limited research has been conducted in this regard in the Kingdom of Saudi Arabia (KSA). Hen…
  openalex Asim Muhammad Alshanberi, Ahmed Hafez Mousa, Sama A. Hashim, Reem S. Almutairi 等 2024-04-01 置信度 0.72 PerceptionMedical educationPsychologyData scienceComputer science
• Heart disease prediction using distinct artificial intelligence techniques: performance analysis and comparison
  openalex Imam Hossain, Mehadi Hasan Maruf, Md. Ashikur Rahman Khan, Md. Ashikur Rahman Khan 等 2023-06-11 置信度 0.72 Support vector machineRandom forestArtificial intelligenceDecision treeNaive Bayes classifier
• Overview of Deep Learning in Gastrointestinal Endoscopy
  Artificial intelligence is likely to perform several roles currently performed by humans, and the adoption of artificial intelligence-based medicine in gastroenterology practice is expected in the near future. Medical image-based diagnoses, such as pathology, …
  openalex Jun Ki Min, Min Seob Kwak, Jae Myung 2019-01-11 置信度 0.72 EsophagogastroduodenoscopyMedicineCapsule endoscopyEndoscopyArtificial intelligence
• Utility of ChatGPT in Clinical Practice
  ChatGPT is receiving increasing attention and has a variety of application scenarios in clinical practice. In clinical decision support, ChatGPT has been used to generate accurate differential diagnosis lists, support clinical decision-making, optimize clinica…
  openalex Jialin Liu, Changyu Wang, Siru Liu 2023-06-15 置信度 0.72 Clinical decision support systemDocumentationDecision support systemHealth careAnalytics
• The role of explainable Artificial Intelligence in high-stakes decision-making systems: a systematic review
  openalex Bukhoree Sahoh, Anant Choksuriwong 2023-04-03 置信度 0.72 Computer scienceProcess (computing)Action (physics)Computational intelligenceHuman intelligence
• Review on Artificial Intelligence Techniques for Medical Diagnosis
  In this paper, different techniques used for medical diagnosis are discussed and their performances are compared. These techniques are CNN, Random forest, KNN, SVM etc. CNN (Convolution neural Network) includes layers and weighted mechanism to decide features …
  openalex Ruchi Ruchi, Jimmy Singla, Amar Singh, Harshpreet Kaur 2020-12-03 置信度 0.72 Support vector machineMechanism (biology)Convolution (computer science)Computer scienceRandom forest
• From Brain Science to Artificial Intelligence
  Reviewing the history of the development of artificial intelligence (AI) clearly reveals that brain science has resulted in breakthroughs in AI, such as deep learning. At present, although the developmental trend in AI and its applications has surpassed expect…
  openalex Jingtao Fan, Lu Fang, Jiamin Wu, Yuchen Guo 等 2020-01-14 置信度 0.72 Bridge (graph theory)Artificial intelligenceCognitive scienceArtificial general intelligenceComputer science
• Explainable artificial intelligence: Understanding, visualizing and interpreting deep learning models
  With the availability of large databases and recent improvements in deep learning methodology, the performance of AI systems is reaching, or even exceeding, the human level on an increasing number of complex tasks. Impressive examples of this development can b…
  openalex Wojciech Samek, Thomas Wiegand, Klaus‐Robert Müller 2017-08-28 置信度 0.72 InterpretabilityArtificial intelligenceComputer scienceDeep learningMachine learning
• Oncology Research: Clinical Trial Management Systems, Electronic Medical Record, and Artificial Intelligence
  openalex Candida Barlow 2020-04-01 置信度 0.72 Electronic data captureMedicineClinical trialDocumentationClinical research
• A Review of Deep-Learning-Based Medical Image Segmentation Methods
  As an emerging biomedical image processing technology, medical image segmentation has made great contributions to sustainable medical care. Now it has become an important research direction in the field of computer vision. With the rapid development of deep le…
  openalex Xiangbin Liu, Liping Song, Shuai Liu, Yudong Zhang 2021-01-25 置信度 0.72 Deep learningArtificial intelligenceImage segmentationSegmentationComputer science
• Artificial-Intelligence-Based Decision Making for Oral Potentially Malignant Disorder Diagnosis in Internet of Medical Things Environment
  Oral cancer is considered one of the most common cancer types in several counties. Earlier-stage identification is essential for better prognosis, treatment, and survival. To enhance precision medicine, Internet of Medical Things (IoMT) and deep learning (DL) …
  openalex Rana Alabdan, Abdulrahman Alruban, Anwer Mustafa Hilal, Abdelwahed Motwakel 2022-12-30 置信度 0.72 Computer scienceArtificial intelligenceProcess (computing)The InternetMachine learning
• Medical devices and artificial intelligence
  openalex Arash Aframian, Farhad Iranpour, Justin Cobb 2020-01-01 置信度 0.72 Medical deviceContext (archaeology)Computer scienceSoftwareEngineering
• MONAI: An open-source framework for deep learning in healthcare
  Artificial Intelligence (AI) is having a tremendous impact across most areas of science. Applications of AI in healthcare have the potential to improve our ability to detect, diagnose, prognose, and intervene on human disease. For AI models to be used clinical…
  openalex M. Jorge Cardoso, Wenqi Li, Richard Brown, Nic Ma 等 2022-11-04 置信度 0.72 Software deploymentDeep learningComputer scienceData scienceArtificial intelligence
• Predicting scheduled hospital attendance with artificial intelligence
  Failure to attend scheduled hospital appointments disrupts clinical management and consumes resource estimated at £1 billion annually in the United Kingdom National Health Service alone. Accurate stratification of absence risk can maximize the yield of prevent…
  openalex Amy Nelson, Daniel M. Herron, Geraint Rees, Parashkev Nachev 2019-04-12 置信度 0.72 Gradient boostingMachine learningArtificial intelligenceAdaBoostAttendance
• Development and Assessment of an Artificial Intelligence–Based Tool for Skin Condition Diagnosis by Primary Care Physicians and Nurse Practitioners in Teledermatology Practices
  Importance: Most dermatologic cases are initially evaluated by nondermatologists such as primary care physicians (PCPs) or nurse practitioners (NPs). Objective: To evaluate an artificial intelligence (AI)-based tool that assists with diagnoses of dermatologic …
  openalex Ayush Jain, David H. Way, Vishakha Gupta, Yi Gao 等 2021-04-28 置信度 0.72 TeledermatologyMedicineMedical diagnosisReferralInterquartile range
• Application of artificial intelligence in ophthalmology
  Artificial intelligence is a general term that means to accomplish a task mainly by a computer, with the least human beings participation, and it is widely accepted as the invention of robots. With the development of this new technology, artificial intelligenc…
  openalex Xueli Du, Wenbo Li, Bojie Hu 2018-09-06 置信度 0.72 MedicineRetinopathy of prematurityMacular degenerationOphthalmologyDiabetic retinopathy
• Deep learning in medical imaging and radiation therapy
  The goals of this review paper on deep learning (DL) in medical imaging and radiation therapy are to (a) summarize what has been achieved to date; (b) identify common and unique challenges, and strategies that researchers have taken to address these challenges…
  openalex Berkman Sahiner, Aria Pezeshk, Lubomir M. Hadjiiski, Xiaosong Wang 等 2018-10-27 置信度 0.72 Medical imagingMedical radiationMedical physicistDeep learningMedical physics
• Analysis on the Application of Artificial Intelligence in the Medical Field
  Artificial intelligence is an interdisciplinary subject with very high comprehensiveness. It is a new and emerging discipline that integrates new technologies, new theories and new ideas. Currently artificial intelligence has been widely applied in many fields…
  openalex Dayang Jiang 2020-12-18 置信度 0.72 Field (mathematics)Computer sciencePerspective (graphical)Artificial intelligenceSubject (documents)
• Artificial Intelligence Applications in Hepatology
  Over the past 2 decades, the field of hepatology has witnessed major developments in diagnostic tools, prognostic models, and treatment options making it one of the most complex medical subspecialties. Through artificial intelligence (AI) and machine learning,…
  openalex Jörn M. Schattenberg, Naga Chalasani, Naim Alkhouri 2023-04-22 置信度 0.72 HepatologyMedicineArtificial intelligenceHealth informaticsScale (ratio)
• Advancement of post-market surveillance of medical devices leveraging artificial intelligence: Patient monitors case study
  BackgroundHealthcare institutions throughout the world rely on medical devices to provide their services reliably and effectively. However, medical devices can, and do sometimes fail. These failures pose significant risk to patients.ObjectiveOne way to address…
  openalex Faruk Bećirović, Lemana Spahić, Nejra Merdović, Lejla Gurbeta Pokvić 等 2024-11-25 置信度 0.72 Random forestComputer scienceDecision treeMachine learningSupport vector machine
• Application of Artificial Intelligence Generated Content in Medical Examinations
  As the rapid development of large language model, artificial intelligence generated content (AIGC) presents novel opportunities for constructing medical examination questions. However, it is unclear about the way of effectively utilizing AIGC for designing med…
  openalex Rui Li, Tong Wu 2025-02-01 置信度 0.72 Artificial intelligenceComputer science
• An Overview of Generative Artificial Intelligence in Medical Education
  The application of generative artificial intelligence (GAI) in medical education and practice has garnered increasing attention, particularly its significant potential to enhance personalised learning and clinical training. This viewpoint explores the integrat…
  openalex Shilu Wang, Rongqing Geng, Ruoning Xu 2025-06-01 置信度 0.72 Generative grammarComputer scienceArtificial intelligence
• The Need for Artificial Intelligence in Digital Therapeutics
  Digital therapeutics is a newly described concept in healthcare which is proposed to change patient behavior and treat medical conditions using a variety of digital technologies. However, the term is rarely defined with criteria that make it distinct from simp…
  openalex Adam Palanica, Michael Docktor, Michael Lieberman, Yan Fossat 2020-04-08 置信度 0.72 Digital healthHealth careArtificial intelligenceComputer sciencePrecision medicine
• Artificial Neural Networks for Decision-Making in Urologic Oncology
  openalex Theodore Anagnostou, Mesut Remzi, M. Lykourinas, Bob Djavan 2003-05-12 置信度 0.72 Artificial intelligenceMedicineArtificial neural networkProstate cancerMachine learning
• Interdisciplinary Research in Artificial Intelligence: Challenges and Opportunities
  The use of artificial intelligence (AI) in a variety of research fields is speeding up multiple digital revolutions, from shifting paradigms in healthcare, precision medicine and wearable sensing, to public services and education offered to the masses around t…
  openalex Rémy Kusters, Dusan Misevic, Hugues Berry, Antoine Cully 等 2020-11-23 置信度 0.72 Transparency (behavior)Variety (cybernetics)Engineering ethicsData scienceDigital Revolution
• Text Analytics: the convergence of Big Data and Artificial Intelligence
  The analysis of the text content in emails, blogs, tweets, forums and other forms of textual communication constitutes what we call text analytics. Text analytics is applicable to most industries: it can help analyze millions of emails; you can analyze custome…
  openalex Antonio Moreno Sandoval, Teófilo Redondo 2016-02-28 置信度 0.72 Computer scienceAnalyticsSentiment analysisBusiness intelligenceBig data
• From prediction to decision: Advancing medical artificial intelligence toward real clinical practice
  Artificial intelligence (AI) in medicine is advancing steadily toward real clinical practice, not only through improved predictive performance but also through more decision-relevant modeling, evaluation, and interaction. The studies highlighted here illustrat…
  openalex Qi Chen, Han Lyu, Dong Li, Zhenchang Wang 2026-03-20 置信度 0.72 Clinical PracticeMedical practiceArtificial intelligenceComputer scienceComponent (thermodynamics)
• Smart Technology and the Emergence of Algorithmic Bureaucracy: Artificial Intelligence in UK Local Authorities
  Abstract In recent years, local authorities in the UK have begun to adopt a variety of “smart” technological changes to enhance service delivery. These changes are having profound impacts on the structure of public administration. Focusing on the particular ca…
  openalex Thomas M. Vogl, Cathrine Seidelin, Bharath Ganesh, Jonathan Bright 2020-08-12 置信度 0.72 BureaucracyLocal governmentVariety (cybernetics)Public sectorWork (physics)
• Artificial Intelligence Decision Support for Medical Triage
  Applying state-of-the-art machine learning and natural language processing on approximately one million of teleconsultation records, we developed a triage system, now certified and in use at the largest European telemedicine provider. The system evaluates care…
  openalex Chiara Marchiori, Douglas D. Dykeman, Ivan Girardi, Adam Ivankay 等 2020-11-09 置信度 0.72 TriageComputer scienceTelemedicineTransparency (behavior)Decision support system
• A vision on the artificial intelligence for 6G communication
  The 6G communication network will be a sixth-sense next-generation communication network, which will increase the worthiness of the intelligent Internet of Things. With the advent of various fields of artificial intelligence, 6G will create enormous possibilit…
  openalex Tareq Bin Ahammed, Ripon Patgiri, Sabuzima Nayak 2022-05-14 置信度 0.72 Scope (computer science)The InternetComputer scienceMarketing and artificial intelligenceArtificial intelligence
• Artificial Intelligence Wireless Network Data Security System For Medical Records Using Cryptography Management
  So we're going to study here. Wireless technology is amongst the most quickly expanding and active technological disciplines in the world of communication. Connectivity communication that does not need the use of wires, cables, and perhaps other physical media…
  openalex Akash Saxena, DIPANKAR MISRA, R. Ganesamoorthy, José L. Gonzáles 等 2022-04-28 置信度 0.72 Computer scienceComputer securityWireless sensor networkEncryptionCryptography
• Harnessing Artificial Intelligence for Advancing Medical Manuscript Composition: Applications and Ethical Considerations
  Scientific medical manuscripts are fundamental to advancing research and enhancing patient care. With the emergence of artificial intelligence (AI), the process of composing such manuscripts has witnessed profound transformations. This review delves into the m…
  openalex Shruti Singh, Rajesh Kumar, Vikas Maharshi, Prashant Kumar Singh 等 2024-10-17 置信度 0.72 MedicineEngineering ethicsComposition (language)LinguisticsPhilosophy
• Redefining medical education by boosting curriculum with artificial intelligence knowledge
  In 1910, Abraham Flexner published The Flexner Report. After visiting 155 medical schools across the United States and Canada, he established the biomedical model as the gold standard of medical training. 1 Among other things, he created a standardized four-ye…
  openalex Sameer Mehta, Daniel da Silva Vieira, Samantha Quintero, Daniela Bou Daher 等 2020-10-13 置信度 0.72 Boosting (machine learning)CurriculumGenomic medicineMedicineArtificial intelligence
• Artificial intelligence assisted improved human-computer interactions for computer systems
  openalex Mohammed Saeed Alkatheiri 2022-04-23 置信度 0.72 UsabilityHuman–computer interactionComputer scienceCognitionComprehension
• Artificial Intelligence in Medicine
  At a time when laboratory and personal computers are appearing increasingly in medical settings, it is intriguing to imagine the ways in which computing technology may evolve in the decades ahead. Professor Peter Szolovits of the Clinical Decision Making Group…
  openalex Edward H. Shortliffe 1983-08-12 置信度 0.72 Field (mathematics)Artificial intelligenceMedicineRepresentation (politics)Computer science
• Deployment of Artificial Intelligence in Real-World Practice: Opportunity and Challenge
  Artificial intelligence has rapidly evolved from the experimental phase to the implementation phase in many image-driven clinical disciplines, including ophthalmology. A combination of the increasing availability of large datasets and computing power with revo…
  openalex Mingguang He, Zhixi Li, Chi Liu, Danli Shi 等 2020-07-01 置信度 0.72 Software deploymentMedical diagnosisClinical PracticeComputer scienceArtificial intelligence
• Artificial intelligence and ChatGPT between worst enemy and best friend: The two faces of a revolution and its impact on science and medical schools
  openalex M. Aubignat, E. Diab 2023-03-21 置信度 0.72 Value (mathematics)AdversaryChatbotEngineering ethicsPsychology
• Assessment of Artificial Intelligence Platforms With Regard to Medical Microbiology Knowledge: An Analysis of ChatGPT and Gemini
  The performance of two artificial intelligence (AI) platforms, ChatGPT 3.5 (OpenAI, California, United States) and Gemini (Google AI, California, United States) was assessed by answering 200 questions of microbiology drawn from validated sources. The questions…
  openalex Jai Ranjan, Absar Ahmad, Monalisa Subudhi, Ajay Kumar 2024-05-20 置信度 0.72 Clinical microbiologyComputer scienceEngineeringData scienceMicrobiology
• The Role of Artificial Intelligence in Fighting the COVID-19 Pandemic
  The first few months of 2020 have profoundly changed the way we live our lives and carry out our daily activities. Although the widespread use of futuristic robotaxis and self-driving commercial vehicles has not yet become a reality, the COVID-19 pandemic has …
  openalex Francesco Piccialli, Vincenzo Schiano Di Cola, Fabio Giampaolo, Salvatore Cuomo 2021-04-26 置信度 0.72 PandemicCoronavirus disease 2019 (COVID-19)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Computer science2019-20 coronavirus outbreak
• Advancing Patient Care: How Artificial Intelligence Is Transforming Healthcare
  Artificial Intelligence (AI) has emerged as a transformative technology with immense potential in the field of medicine. By leveraging machine learning and deep learning, AI can assist in diagnosis, treatment selection, and patient monitoring, enabling more ac…
  openalex Diana Gina Poalelungi, Carmina Liana Mușat, Ana Fulga, Marius Neagu 等 2023-07-31 置信度 0.72 Health careMedicineComputer sciencePolitical scienceLaw
• Research on Infringement of Artificial Intelligence Medical Robot
  with the rapid development of artificial intelligence, intelligent medical robots have been used in the medical field to assist medical staff in diagnosing and treating diseases. Due to the lag of legislation, the current liability for medical damage and produ…
  openalex Chen Mingtsung, Wei Qian 2020-01-01 置信度 0.72 Computer scienceRobotArtificial intelligenceHuman–computer interaction
• Use of Mobile and Wearable Artificial Intelligence in Child and Adolescent Psychiatry: Scoping Review
  BACKGROUND: Mental health disorders are a leading cause of medical disabilities across an individual's lifespan. This burden is particularly substantial in children and adolescents because of challenges in diagnosis and the lack of precision medicine approache…
  openalex Victoria Welch, Tom Joshua Wy, Anna N. Ligezka, Leslie C. Hassett 等 2022-01-26 置信度 0.72 Wearable computerChild and adolescent psychiatryPsychologyComputer sciencePsychiatry
• Bioinformatics and Artificial Intelligence: Gerontological and Geriatric Components Medical and Social Support for Active Healthy Longevity
  The “cognitive reserve” construct is a set of variables, including intelligence, education, and mental stimulation, that presumably allows the brain to adapt to underlying pathologies, supporting cognitive function despite underlying neural changes. Brain Homo…
  openalex V. F. Pyatin, А. В. Колсанов, N. Romanchuk, Д. В. Романов 等 2020-12-12 置信度 0.72 CognitionProcess (computing)Computer scienceSet (abstract data type)Disease
• Artificial intelligence technology, public trust, and effective governance
  Abstract Advancement in information technology continues to evolve especially in the field of artificial intelligence (AI). Research studies have been conducted to evaluate the perceptions of Americans on the development and utilization of AI technology and if…
  openalex Pedro Robles, Daniel J. Mallinson 2023-05-31 置信度 0.72 Corporate governancePublic opinionField (mathematics)Public trustPublic relations
• Artificial intelligence radiogenomics for advancing precision and effectiveness in oncologic care (Review)
  The new era of artificial intelligence (AI) has introduced revolutionary data‑driven analysis paradigms that have led to significant advancements in information processing techniques in the context of clinical decision‑support systems. These advances have crea…
  openalex Eleftherios Trivizakis, Georgios Z. Papadakis, Ioannis Souglakos, Nickolas Papanikolaou 等 2020-05-11 置信度 0.72 RadiogenomicsPrecision medicineContext (archaeology)Personalized medicineData science
• Application of Artificial Intelligence in Basketball Sport
  Basketball is among the most popular sports in the world, and its related industries have also produced huge economic benefits. In recent years, the application of artificial intelligence (AI) technology in basketball has attracted a large amount of attention.…
  openalex Li Bin, Xinyang Xu 2021-07-08 置信度 0.72 BasketballPopularityCoachingApplied psychologyComputer science
• Physical foundations for trustworthy medical imaging: A survey for artificial intelligence researchers
  Artificial intelligence in medical imaging has grown rapidly in the past decade, driven by advances in deep learning and widespread access to computing resources. Applications cover diverse imaging modalities, including those based on electromagnetic radiation…
  openalex Miriam Cobo, David Corral Fontecha, Wilson Silva, L. Lloret Iglesias 等 2025-08-26 置信度 0.72 TrustworthinessComputer scienceData scienceArtificial intelligenceMedical imaging
• Artificial Intelligence, Machine Learning, and Internet of Drones in Medical Applications
  Internet of drones (IOD) plays an important role in the delivery of emergency medicine to remote locations. Furthermore, it is employed for blood transfer, disaster assistance, missing persons, discovering lost hikers in the hill station, and a variety of othe…
  openalex J. Kavya, G. Prasad, N. Bharanidharan 2022-02-11 置信度 0.72 DroneAviationThe InternetMedical emergencyVariety (cybernetics)
• Medical information security in the era of artificial intelligence
  openalex Yufeng Wang, Liwei Wang, C. Xue, Chang-ao Xue 2018-04-05 置信度 0.72 BiometricsFace (sociological concept)Facial recognition systemComputer scienceIRIS (biosensor)
• RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records
  We have recently seen many successful applications of recurrent neural networks (RNNs) on electronic medical records (EMRs), which contain histories of patients' diagnoses, medications, and other various events, in order to predict the current and future state…
  openalex Bum Chul Kwon, Minje Choi, Joanne Taery Kim, Edward Choi 等 2018-08-20 置信度 0.72 Computer scienceVisual analyticsInterpretabilityRecurrent neural networkInteractivity
• Radiomics with artificial intelligence for precision medicine in radiation therapy
  Recently, the concept of radiomics has emerged from radiation oncology. It is a novel approach for solving the issues of precision medicine and how it can be performed, based on multimodality medical images that are non-invasive, fast and low in cost. Radiomic…
  openalex Hidetaka Arimura, Mazen Soufi, Hidemi Kamezawa, Kenta Ninomiya 等 2018-09-09 置信度 0.72 RadiomicsPrecision medicineMedicineBoosting (machine learning)Radiogenomics
• Explainable Artificial Intelligence in Endocrinological Medical Research
  Artificial Intelligence (AI) has been a part of the medical community for decades in the form of Clinical Decision Support Systems to aid physicians in diagnosis and categorization of patients (1). Recent years have seen a shift from expert-derived models to p…
  openalex Bobbie‐Jo Webb‐Robertson 2021-04-30 置信度 0.72 Computer scienceArtificial intelligencePsychologyData science
• Use of an Artificial Intelligence-Driven Digital Platform for Reflective Learning to Support Continuing Medical and Professional Education and Opportunities for Interprofessional Education and Equitable Access
  Continuing medical education (CME) and continuing education (CE) provide frameworks for assimilating and disseminating new advancements and are mainstays of clinicians’ professional development and accreditation. However, traditional CME/CE approaches may be c…
  openalex Brian Cohen, Sasha DuBois, Patricia A. Lynch, Niraj Swami 等 2023-07-25 置信度 0.72 AccreditationInterprofessional educationContinuing medical educationReflective practiceProfessional development
• Artificial Intelligence Applications in K-12 Education: A Systematic Literature Review
  Education is a vital part of the development of society and it is changing over time in terms of methods, content, concepts, and models. Recently, it has been increasingly prevalent to benefit from the potentialities of Artificial Intelligence (AI) in addressi…
  openalex Mostafa Zafari, Jalal Safari Bazargani, Abolghasem Sadeghi‐Niaraki, Soo-Mi Choi 2022-01-01 置信度 0.72 ScopusComputer scienceApplications of artificial intelligenceSystematic reviewArtificial intelligence
• Introduction of telemedicine technologies based on artificial intelligence into practice of providing outpatient care for medical examination
  To date, the main focus in the implementation of medical activities is focused on the organization of outpatient care for the population. It is at the level of primary health care, where it is possible to carry out primary prevention measures and the formation…
  openalex P. Seliverstov, В. В. Шаповалов, O. V. Aleshko 2023-11-09 置信度 0.72 TelemedicineHealth carePopulationMedicineAmbulatory care
• Radiologists’ and Radiographers’ Perspectives on Artificial Intelligence in Medical Imaging in Saudi Arabia
  INTRODUCTION: Artificial intelligence (AI) in medical imaging rapidly expands regarding image processing and interpretation. Therefore, the aim was to explore radiographers’ and radiologists’ perceptions and attitudes towards AI use in medical imaging technolo…
  openalex Ali S. Alyami, Naif A. Majrashi, Nasser Shubayr 2023-11-30 置信度 0.72 PerceptionScale (ratio)MedicineMedical imagingMedical education
• Artificial intelligence research in anesthesia and intensive care
  openalex Glenn D. Rennels, Perry L. Miller 1988-10-01 置信度 0.72 AnesthesiologyArtificial Intelligence SystemArtificial intelligenceComputer scienceIntensive care
• Management of Artificial Intelligence Enabled Smart Wearable Devices for Early Diagnosis and Continuous Monitoring of CVDS
  Cardiovascular diseases are often sudden and deadly. Every year, world over, there are millions of CVD deaths, not due to timely detection and treatment and continuous monitoring of patient situations. In the medical field, Artificial intelligence enabled/driv…
  openalex Mounir M. El Khatib, Gouher Ahmed 2019-11-19 置信度 0.72 Wearable computerWearable technologyContinuous monitoringField (mathematics)Computer science
• How Artificial Intelligence affords digital innovation: A cross-case analysis of Scandinavian companies
  Artificial Intelligence (AI) is fuelling a new breed of digital innovation in Human Resource Management (HRM) by creating new opportunities for complying with General Data Protection Regulation (GDPR) during data collection and analysis, decreasing biases, and…
  openalex Cristina Trocin, Ingrid Våge Hovland, Patrick Mikalef, Christian Dremel 2021-08-06 置信度 0.72 AffordanceKnowledge managementProcess (computing)Computer scienceData science
• Technology and mental health: The role of artificial intelligence
  An abstract is not available for this content. As you have access to this content, full HTML content is provided on this page. A PDF of this content is also available in through the ‘Save PDF’ action button.
  openalex Christopher A. Lovejoy 2018-10-28 置信度 0.72 Content (measure theory)Action (physics)PsychologyMental healthComputer science
• A Virtual Counseling Application Using Artificial Intelligence for Communication Skills Training in Nursing Education: Development Study
  BACKGROUND: The ability of nursing undergraduates to communicate effectively with health care providers, patients, and their family members is crucial to their nursing professions as these can affect patient outcomes. However, the traditional use of didactic l…
  openalex Shefaly Shorey, Emily Ang, John Yap, Esperanza Debby Ng 等 2019-08-31 置信度 0.72 Medical educationPsychologyApplied psychologyNursingTraining (meteorology)
• Characterizing the Clinical Adoption of Medical AI Devices through U.S. Insurance Claims
  There are now over 500 medical artificial intelligence (AI) devices that are approved by the U.S. Food and Drug Administration. However, little is known about where and how often these devices are actually used after regulatory approval. In this article, we sy…
  openalex Kevin Wu, Eric Q. Wu, Brandon Theodorou, Weixin Liang 等 2023-11-09 置信度 0.72 Current Procedural TerminologyPaymentBusinessMedicineHealth care
• Exploring Research Trends of Emerging Technologies in Health Metaverse: A Bibliometric Analysis
  openalex Donghua Chen, Runtong Zhang 2022-01-01 置信度 0.72 MetaverseData scienceRegional scienceSociologyComputer science
• GenAI against humanity: nefarious applications of generative artificial intelligence and large language models
  Abstract Generative Artificial Intelligence (GenAI) and Large Language Models (LLMs) are marvels of technology; celebrated for their prowess in natural language processing and multimodal content generation, they promise a transformative future. But as with all…
  openalex Emilio Ferrara 2024-02-22 置信度 0.72 HumanityGenerative grammarArtificial intelligenceComputer scienceCognitive science
• From Theory to Practice: Artificial Intelligence (AI) Literacy Course for First-Year Medical Students
  Artificial intelligence (AI) is rapidly transforming healthcare by enhancing diagnostics, personalized medicine, and clinical decision-making. In medical education, AI chatbots have the potential to be used as virtual tutors or learning assistants. Despite AI'…
  openalex Hunter Levingston, Max C. Anderson, Monzurul Amin Roni 2024-10-02 置信度 0.72 MedicineCourse (navigation)Medical educationLiteracyShort course
• An Academic Viewpoint (2025) on the Integration of Generative Artificial Intelligence in Medical Education: Transforming Learning and Practices
  Generative artificial intelligence (GAI) has introduced a new era of medical education by offering innovative solutions to critical challenges in teaching, assessment, and clinical training. This expanded review explores the current and potential applications …
  openalex Mohammad Almansour, Mona Soliman, Raniah N. Aldekhyyel, Samar Binkheder 等 2025-03-25 置信度 0.72 MedicineGenerative grammarArtificial intelligenceMedical educationComputer science
• Artificial intelligence and deep learning in ophthalmology - present and future (Review)
  Since its introduction in 1959, artificial intelligence technology has evolved rapidly and helped benefit research, industries and medicine. Deep learning, as a process of artificial intelligence (AI) is used in ophthalmology for data analysis, segmentation, a…
  openalex Andreea Moraru, Dănuț Costin, Radu Moraru, Daniel Brănișteanu 2020-08-12 置信度 0.72 Deep learningArtificial intelligenceOptical coherence tomographyComputer scienceProcess (computing)
• [Retracted] Privacy Protection of Medical Service Data Based on Blockchain and Artificial Intelligence in the Era of Smart Medical Care
  Smart medical care will realize the self‐management, selection, and optimization of related things with more thorough induction, more comprehensive interconnection, and more intelligent insight, so that people can get an increasingly personalized medical and h…
  openalex Wu Bo, Yong Pi, Jinhong Chen 2022-01-01 置信度 0.72 Computer scienceComputer securityHomomorphic encryptionEncryptionData sharing
• Impact of artificial intelligence-driven big data analytics culture on agility and resilience in humanitarian supply chain: A practice-based view
  This study attempts to understand the role of artificial intelligence-driven big data analytics capability in humanitarian relief operations. These disasters play an important role in mobilizing several organizations to counteract them, but the organizations o…
  openalex Rameshwar Dubey, David Bryde, Yogesh K. Dwivedi, Gary Graham 等 2022-08-01 置信度 0.72 Big dataAgile software developmentSupply chainDynamic capabilitiesResilience (materials science)
• Trends in artificial intelligence in nursing: Impacts on nursing management
  OBJECTIVE: To investigate the academic use of artificial intelligence (AI) in nursing. BACKGROUND: A bibliometric analysis combined with the VOSviewer software quantification method has been utilized for a literature analysis. In recent years, this approach ha…
  openalex Ching‐Yi Chang, Hsiu‐Ju Jen, Wen‐Song Su 2022-08-15 置信度 0.72 CINAHLScopusMEDLINENursing researchHealth care
• Artificial Intelligence in Medical Education
  OBJECTIVE: To explore the understanding of medical students regarding the integration of AI in medical education. STUDY DESIGN: Mixed methods, explanatory sequential study. Place and Duration of the Study: This study was conducted from March to May 2024 at the…
  openalex M. Asif Farooq, Ambreen Usmani 2025-04-01 置信度 0.72 PsychologyMedical educationComputer scienceMathematics educationMedicine
• Artificial Intelligence in Africa: Emerging Challenges
  Abstract In the current African society, Artificial Intelligence (AI) is becoming more popular and seeking to cover all facets of human activity. The adoption and use of these modern technologies in the African context are currently low due to some emerging ch…
  openalex Abejide Ade-Ibijola, Chinedu Wilfred Okonkwo 2022-12-31 置信度 0.72 Government (linguistics)Context (archaeology)Cover (algebra)Emerging technologiesKnowledge management
• Strategies of Artificial intelligence tools in the domain of nanomedicine
  Nanomedicine is a field of medicine that uses nanotechnology to develop new diagnostic tools and therapies for a wide range of medical conditions. It encompasses a variety of different approaches, including the use of nanoparticles , nano-robots, and nanodevic…
  openalex Mohammad Habeeb, Huay Woon You, Mutheeswaran Umapathi, R. Kishore Kanna 等 2023-11-10 置信度 0.72 NanomedicineDrug deliveryPersonalized medicineComputer scienceArtificial intelligence
• Artificial intelligence scribe: A new era in medical documentation
  The high workloads involved in clinical documentation represent one of the major factors contributing to the significant escalation of clinician burnout. The emergence of artificial intelligence (AI) has provided new avenues for relieving this burden by automa…
  openalex Khalid Nawab 2024-09-27 置信度 0.72 DocumentationComputer sciencePsychologyProgramming language
• Artificial Intelligence in Personalized Medicine Application of AI Algorithms in Solving Personalized Medicine Problems
  Artificial Intelligence has significantly gained grounds in our daily livelihood in this age of information and technology. As with any field of study, evolution takes place in terms of breakthrough or developmental research leading to advancement and friendly…
  openalex Jamilu Awwalu, Ali Garba Garba, Anahita Ghazvini, Rose Atuah 2014-12-03 置信度 0.72 Computer sciencePersonalized medicineArtificial intelligenceMachine learningAlgorithm
• Explainable Artificial Intelligence for Medical Applications: A Review
  The continuous development of artificial intelligence (AI) theory has propelled this field to unprecedented heights, owing to the relentless efforts of scholars and researchers. In the medical realm, AI takes a pivotal role, leveraging robust machine learning …
  openalex Qiyang Sun, Alican Akman, Björn W. Schuller 2024-11-15 置信度 0.72 Data scienceComputer scienceManagement scienceArtificial intelligenceEngineering
• The Impact of Artificial Intelligence on Innovation
  Artificial intelligence has the potential to greatly increase the efficiency of the current life in which we live. However, it may result in more impacts through its application as the modern mode in invention and bring a new perspective of the existing innova…
  openalex Takudzwa Fadziso 2018-12-31 置信度 0.72 ProductivityTransparency (behavior)IncentiveCompetition (biology)Artificial intelligence
• Artificial intelligence algorithm for predicting mortality of patients with acute heart failure
  AIMS: This study aimed to develop and validate deep-learning-based artificial intelligence algorithm for predicting mortality of AHF (DAHF). METHODS AND RESULTS: 12,654 dataset from 2165 patients with AHF in two hospitals were used as train data for DAHF devel…
  openalex Joon-myoung Kwon, Kyung‐Hee Kim, Kyung-Hee Kim, Ki‐Hyun Jeon 等 2019-07-08 置信度 0.72 Heart failureConfidence intervalReceiver operating characteristicMedicineMachine learning
• Toward Explainable Artificial Intelligence for Precision Pathology
  The rapid development of precision medicine in recent years has started to challenge diagnostic pathology with respect to its ability to analyze histological images and increasingly large molecular profiling data in a quantitative, integrative, and standardize…
  openalex Frederick Klauschen, Jonas Dippel, Philipp Keyl, Philipp Jurmeister 等 2023-10-23 置信度 0.72 Artificial intelligenceComputer scienceProfiling (computer programming)Precision medicineDigital pathology
• Experimental evidence of effective human–AI collaboration in medical decision-making
  Artificial Intelligence (AI) systems are precious support for decision-making, with many applications also in the medical domain. The interaction between MDs and AI enjoys a renewed interest following the increased possibilities of deep learning devices. Howev…
  openalex Carlo Reverberi, Tommaso Rigon, Aldo Solari, Cesare Hassan 等 2022-09-02 置信度 0.72 Medical decision makingClinical decision makingData scienceComputer scienceMEDLINE
• Rise of artificial general intelligence: risks and opportunities
  Artificial intelligence is making extraordinary progress with an unprecedented rate, reaching and surpassing human capabilities in many tasks previously considered unattainable by machines, as language translation, music composition, object detection, medical …
  openalex Giorgio Buttazzo 2023-08-25 置信度 0.72 Computer scienceRaising (metalworking)Face (sociological concept)Object (grammar)Artificial intelligence
• An artificial intelligence-based chatbot for prostate cancer education: Design and patient evaluation study
  Introduction: Artificial intelligence (AI) is increasingly used in healthcare. AI-based chatbots can act as automated conversational agents, capable of promoting health and providing education at any time. The objective of this study was to develop and evaluat…
  openalex Magdalena Görtz, Kilian Baumgärtner, T Schmid, Marc Muschko 等 2023-01-01 置信度 0.72 ChatbotProstate cancerCancerComputer scienceMedicine
• Are ChatGPT's knowledge and interpretation ability comparable to those of medical students in Korea for taking a parasitology examination?: a descriptive study
  This study aimed to compare the knowledge and interpretation ability of ChatGPT, a language model of artificial general intelligence, with those of medical students in Korea by administering a parasitology examination to both ChatGPT and medical students. The …
  openalex Sun Huh 2023-01-11 置信度 0.72 Final examinationInterpretation (philosophy)Medical educationPsychologyMathematics education
• Opportunities and challenges in application of artificial intelligence in pharmacology
  openalex Mandeep Kumar, T. P. Nhung Nguyen, Jasleen Kaur, Thakur Gurjeet Singh 等 2023-01-09 置信度 0.72 Artificial intelligenceComputer scienceMachine learningIdentification (biology)Big data
• Artificial Intelligence in Food Safety: A Decade Review and Bibliometric Analysis
  Artificial Intelligence (AI) technologies have been powerful solutions used to improve food yield, quality, and nutrition, increase safety and traceability while decreasing resource consumption, and eliminate food waste. Compared with several qualitative revie…
  openalex Zhe Liu, Shuzhe Wang, Yudong Zhang, Yichen Feng 等 2023-03-14 置信度 0.72 Food safetyWeb of scienceTraceabilityBibliometricsAgriculture
• An overview of deep learning in medical imaging
  Deep learning (DL) is one of the branches of artificial intelligence that has seen exponential growth in recent years. The scientific community has focused its attention on DL due to its versatility, high performance, high generalization capacity, and multidis…
  openalex Andrés Anaya-Isaza, Leonel Mera-Jiménez, Martha Zequera-Diaz 2021-01-01 置信度 0.72 Deep learningArtificial intelligenceComputer scienceConvolutional neural networkGeneralization
• Artificial Intelligence in mental health and the biases of language based models
  BACKGROUND: The rapid integration of Artificial Intelligence (AI) into the healthcare field has occurred with little communication between computer scientists and doctors. The impact of AI on health outcomes and inequalities calls for health professionals and …
  openalex Isabel Straw, Chris Callison-Burch 2020-12-17 置信度 0.72 Mental healthPsychologyComputer scienceNatural language processingArtificial intelligence
• Explainable Artificial Intelligence (XAI): Classification of Medical Thermal Images of Neonates Using Class Activation Maps
  In order to determine the health status of the neonates, studies focus on either statistical behavior of the thermograms' temperature distributions, or just correct classifications of the thermograms. However, there exists always a lack of explain-ability for …
  openalex Ahmet Haydar Örnek, Murat Ceylan 2021-10-31 置信度 0.72 Artificial intelligenceClass (philosophy)Pattern recognition (psychology)Computer science
• Artificial intelligence in thyroid ultrasound
  Artificial intelligence (AI), particularly deep learning (DL) algorithms, has demonstrated remarkable progress in image-recognition tasks, enabling the automatic quantitative assessment of complex medical images with increased accuracy and efficiency. AI is wi…
  openalex Chun‐Li Cao, Qiaoli Li, Tong Jin, Li‐Nan Shi 等 2023-05-12 置信度 0.72 Artificial intelligenceWorkloadThyroid cancerComputer scienceMachine learning
• Artificial intelligence and Machine Learning for Real-world problems (A survey)
  Today, the use of machine learning and artificial intelligence due to many advantages such as simplicity, high speed, high accuracy in predicting various processes, no need for complex equipment and tools and the availability of many applications in science an…
  openalex Javid Ghahremani-Nahr, Hamed Nozari, Mohammad Ebrahim Sadeghi 2021-10-07 置信度 0.72 Artificial intelligenceMachine learningComputer scienceSimplicitySet (abstract data type)
• A Review on Applications of Artificial Intelligence in Wastewater Treatment
  In recent years, artificial intelligence (AI), as a rapidly developing and powerful tool to solve practical problems, has attracted much attention and has been widely used in various areas. Owing to their strong learning and accurate prediction abilities, all …
  openalex Yì Wáng, Yuhan Cheng, He Liu, Qing Guo 等 2023-09-11 置信度 0.72 InterpretabilityComputer scienceProcess (computing)Artificial intelligenceTransparency (behavior)
• Artificial Intelligence Applications for Workflow, Process Optimization and Predictive Analytics
  There is great potential for artificial intelligence (AI) applications, especially machine learning and natural language processing, in medical imaging. Much attention has been garnered by the image analysis tasks for diagnostic decision support and precision …
  openalex Laurent Létourneau‐Guillon, David Camirand, F Guilbert, Reza Forghani 2020-10-07 置信度 0.72 WorkflowPredictive analyticsMedicineAnalyticsInformatics
• AI-assisted CT imaging analysis for COVID-19 screening: Building and deploying a medical AI system in four weeks
  The sudden outbreak of novel coronavirus 2019 (COVID-19) increased the diagnostic burden of radiologists. In the time of an epidemic crisis, we hoped artificial intelligence (AI) to help reduce physician workload in regions with the outbreak, and improve the d…
  openalex Shuo Jin, Bo Wang, Haibo Xu, Chuan Luo 等 2020-03-23 置信度 0.72 Coronavirus disease 2019 (COVID-19)WorkloadOutbreakFalse positive paradoxPandemic
• Artificial Intelligence for Clinical Decision Support in Sepsis
  Sepsis is one of the main causes of death in critically ill patients. Despite the continuous development of medical technology in recent years, its morbidity and mortality are still high. This is mainly related to the delay in starting treatment and non-adhere…
  openalex Miao Wu, Xianjin Du, Raymond Gu, Jie Wei 2021-05-13 置信度 0.72 SepsisIntensive care medicineClinical decision support systemClinical decision makingDecision support system