This paper is in the following e-collection/theme issue:

Viewpoints and Perspectives (483) Clinical Information and Decision Making (1314) Quality/Credibility of eHealth Information and Trust Issues (485)

Published on in Vol 22, No 6 (2020): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15154, first published .
Artificial Intelligence and Human Trust in Healthcare: Focus on Clinicians

Artificial Intelligence and Human Trust in Healthcare: Focus on Clinicians

Artificial Intelligence and Human Trust in Healthcare: Focus on Clinicians

Authors of this article:

Onur Asan1 Author Orcid Image ;   Alparslan Emrah Bayrak1 Author Orcid Image ;   Avishek Choudhury1 Author Orcid Image
Article Authors Cited by (274) Tweetations (188) Metrics

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  128. Choi D, Lim M, Kim K, Shin S, Hong K, Kim S. Development of an artificial intelligence bacteremia prediction model and evaluation of its impact on physician predictions focusing on uncertainty. Scientific Reports 2023;13(1) View
  129. Day T, Matthew J, Budd S, Hajnal J, Simpson J, Razavi R, Kainz B. Sonographer interaction with artificial intelligence: collaboration or conflict?. Ultrasound in Obstetrics & Gynecology 2023;62(2):167 View
  130. Zhang Y, Doyle T. Integrating intention-based systems in human-robot interaction: a scoping review of sensors, algorithms, and trust. Frontiers in Robotics and AI 2023;10 View
  131. Fischer A, Rietveld A, Teunissen P, Hoogendoorn M, Bakker P. What is the future of artificial intelligence in obstetrics? A qualitative study among healthcare professionals. BMJ Open 2023;13(10):e076017 View
  132. Steerling E, Siira E, Nilsen P, Svedberg P, Nygren J. Implementing AI in healthcare—the relevance of trust: a scoping review. Frontiers in Health Services 2023;3 View
  133. Cresswell K, Rigby M, Magrabi F, Scott P, Brender J, Craven C, Wong Z, Kukhareva P, Ammenwerth E, Georgiou A, Medlock S, De Keizer N, Nykänen P, Prgomet M, Williams R. The need to strengthen the evaluation of the impact of Artificial Intelligence-based decision support systems on healthcare provision. Health Policy 2023;136:104889 View
  134. Njei B, Kanmounye U, Mohamed M, Forjindam A, Ndemazie N, Adenusi A, Egboh S, Chukwudike E, Monteiro J, Berzin T, Asombang A. Artificial intelligence for healthcare in Africa: a scientometric analysis. Health and Technology 2023;13(6):947 View
  135. Asare J, Appiahene P, Donkoh E. Detection of anaemia using medical images: A comparative study of machine learning algorithms – A systematic literature review. Informatics in Medicine Unlocked 2023;40:101283 View
  136. Hummelsberger P, Koch T, Rauh S, Dorn J, Lermer E, Raue M, Hudecek M, Schicho A, Colak E, Ghassemi M, Gaube S. Insights on the Current State and Future Outlook of AI in Health Care: Expert Interview Study. JMIR AI 2023;2:e47353 View
  137. Huang Z, George M, Tan Y, Natarajan K, Devasagayam E, Tay E, Manesh A, Varghese G, Abraham O, Zachariah A, Yap P, Lall D, Chow A. Are physicians ready for precision antibiotic prescribing? A qualitative analysis of the acceptance of artificial intelligence-enabled clinical decision support systems in India and Singapore. Journal of Global Antimicrobial Resistance 2023;35:76 View
  138. Bitkina O, Park J, Kim H. Application of artificial intelligence in medical technologies: A systematic review of main trends. DIGITAL HEALTH 2023;9 View
  139. Jouan G, Arnardottir E, Islind A, Óskarsdóttir M. An algorithmic approach to identification of gray areas: Analysis of sleep scoring expert ensemble non agreement areas using a multinomial mixture model. European Journal of Operational Research 2024;317(2):352 View
  140. Milota M, Drogt J, Jongsma K. Making AI’s Impact on Pathology Visible: Using Ethnographic Methods for Ethical and Epistemological Insights. Digital Society 2023;2(3) View
  141. van der Sar I, van Jaarsveld N, Spiekerman I, Toxopeus F, Langens Q, Wijsenbeek M, Dauwels J, Moor C. Evaluation of different classification methods using electronic nose data to diagnose sarcoidosis. Journal of Breath Research 2023;17(4):047104 View
  142. Hill A, Joyner C, Keith-Jopp C, Yet B, Tuncer Sakar C, Marsh W, Morrissey D. Assessing Serious Spinal Pathology Using Bayesian Network Decision Support: Development and Validation Study. JMIR Formative Research 2023;7:e44187 View
  143. Benrimoh D, Kleinerman A, Furukawa T, III C, Lenze E, Karp J, Mulsant B, Armstrong C, Mehltretter J, Fratila R, Perlman K, Israel S, Popescu C, Golden G, Qassim S, Anacleto A, Tanguay-Sela M, Kapelner A, Rosenfeld A, Turecki G. Towards Outcome-Driven Patient Subgroups: A Machine Learning Analysis Across Six Depression Treatment Studies. The American Journal of Geriatric Psychiatry 2024;32(3):280 View
  144. Asan O, Choi E, Wang X. Artificial Intelligence–Based Consumer Health Informatics Application: Scoping Review. Journal of Medical Internet Research 2023;25:e47260 View
  145. Herington J, McCradden M, Creel K, Boellaard R, Jones E, Jha A, Rahmim A, Scott P, Sunderland J, Wahl R, Zuehlsdorff S, Saboury B. Ethical Considerations for Artificial Intelligence in Medical Imaging: Deployment and Governance. Journal of Nuclear Medicine 2023;64(10):1509 View
  146. Maccaro A, Pagliara S, Zarro M, Piaggio D, Abdulsalami F, Su W, Haleem M, Pecchia L. Ethics and biomedical engineering for well-being: a cocreation study of remote services for monitoring and support. Scientific Reports 2023;13(1) View
  147. Farič N, Hinder S, Williams R, Ramaesh R, Bernabeu M, van Beek E, Cresswell K. Early experiences of integrating an artificial intelligence-based diagnostic decision support system into radiology settings: a qualitative study. Journal of the American Medical Informatics Association 2023;31(1):24 View
  148. Day T, Budd S, Tan J, Matthew J, Skelton E, Jowett V, Lloyd D, Gomez A, Hajnal J, Razavi R, Kainz B, Simpson J. Prenatal diagnosis of hypoplastic left heart syndrome on ultrasound using artificial intelligence: How does performance compare to a current screening programme?. Prenatal Diagnosis 2024;44(6-7):717 View
  149. Lin H, Han J, Wu P, Wang J, Tu J, Tang H, Zhu L. Machine learning and human‐machine trust in healthcare: A systematic survey. CAAI Transactions on Intelligence Technology 2024;9(2):286 View
  150. Sangal S, Nigam A, Sharma S. Integrating blockchain capabilities in an omnichannel healthcare system: A dual theoretical perspective. Journal of Consumer Behaviour 2024;23(2):440 View
  151. Mittermaier M, Raza M, Kvedar J. Collaborative strategies for deploying AI-based physician decision support systems: challenges and deployment approaches. npj Digital Medicine 2023;6(1) View
  152. González-Alday R, García-Cuesta E, Kulikowski C, Maojo V. A Scoping Review on the Progress, Applicability, and Future of Explainable Artificial Intelligence in Medicine. Applied Sciences 2023;13(19):10778 View
  153. Rizvi A, Rizvi F, Lalakia P, Hyman L, Frasso R, Sztandera L, Das A. Is Artificial Intelligence the Cost-Saving Lens to Diabetic Retinopathy Screening in Low- and Middle-Income Countries?. Cureus 2023 View
  154. Braun M, Greve M, Brendel A, Kolbe L. Humans Supervising Artificial Intelligence – Investigation of Designs to Optimize Error Detection. Journal of Decision Systems 2023:1 View
  155. Petersson L, Vincent K, Svedberg P, Nygren J, Larsson I. Ethical considerations in implementing AI for mortality prediction in the emergency department: Linking theory and practice. DIGITAL HEALTH 2023;9 View
  156. Neher M, Petersson L, Nygren J, Svedberg P, Larsson I, Nilsen P. Innovation in healthcare: leadership perceptions about the innovation characteristics of artificial intelligence—a qualitative interview study with healthcare leaders in Sweden. Implementation Science Communications 2023;4(1) View
  157. Wang B, Asan O, Mansouri M. What May Impact Trustworthiness of AI in Digital Healthcare: Discussion from Patients’ Viewpoint. Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care 2023;12(1):5 View
  158. Tang Y, Cai J. Impact and Prediction of AI Diagnostic Report Interpretation Type on Patient Trust. Frontiers in Computing and Intelligent Systems 2023;3(3):59 View
  159. Hulsen T. Explainable Artificial Intelligence (XAI): Concepts and Challenges in Healthcare. AI 2023;4(3):652 View
  160. Cascarano A, Mur-Petit J, Hernández-González J, Camacho M, de Toro Eadie N, Gkontra P, Chadeau-Hyam M, Vitrià J, Lekadir K. Machine and deep learning for longitudinal biomedical data: a review of methods and applications. Artificial Intelligence Review 2023;56(S2):1711 View
  161. Mehrotra S, Jorge C, Jonker C, Tielman M. Integrity-based Explanations for Fostering Appropriate Trust in AI Agents. ACM Transactions on Interactive Intelligent Systems 2024;14(1):1 View
  162. Kumar A, Nanthaamornphong A, Selvi R, Venkatesh J, Alsharif M, Uthansakul P, Uthansakul M. Evaluation of 5G techniques affecting the deployment of smart hospital infrastructure: Understanding 5G, AI and IoT role in smart hospital. Alexandria Engineering Journal 2023;83:335 View
  163. Habbal A, Ali M, Abuzaraida M. Artificial Intelligence Trust, Risk and Security Management (AI TRiSM): Frameworks, applications, challenges and future research directions. Expert Systems with Applications 2024;240:122442 View
  164. Verma A, Trbovich P, Mamdani M, Shojania K. Grand rounds in methodology: key considerations for implementing machine learning solutions in quality improvement initiatives. BMJ Quality & Safety 2024;33(2):121 View
  165. Wang B, Asan O, Zhang Y. Shaping the future of chronic disease management: Insights into patient needs for AI-based homecare systems. International Journal of Medical Informatics 2024;181:105301 View
  166. Stevens A, Stetson P. Theory of trust and acceptance of artificial intelligence technology (TrAAIT): An instrument to assess clinician trust and acceptance of artificial intelligence. Journal of Biomedical Informatics 2023;148:104550 View
  167. Goh W, Chia K, Cheung M, Kee K, Lwin M, Schulz P, Chen M, Wu K, Ng S, Lui R, Ang T, Yeoh K, Chiu H, Wu D, Sung J. Risk Perception, Acceptance, and Trust of Using AI in Gastroenterology Practice in the Asia-Pacific Region: Web-Based Survey Study. JMIR AI 2024;3:e50525 View
  168. Veetil I, V. S, Orozco-Arroyave J, Gopalakrishnan E. Robust language independent voice data driven Parkinson’s disease detection. Engineering Applications of Artificial Intelligence 2024;129:107494 View
  169. Schulz P, Lwin M, Kee K, Goh W, Lam T, Sung J. Modeling the influence of attitudes, trust, and beliefs on endoscopists’ acceptance of artificial intelligence applications in medical practice. Frontiers in Public Health 2023;11 View
  170. Alanzi T, Alanazi F, Mashhour B, Altalhi R, Alghamdi A, Al Shubbar M, Alamro S, Alshammari M, Almusmili L, Alanazi L, Alzahrani S, Alalouni R, Alanzi N, Alsharifa A. Surveying Hematologists’ Perceptions and Readiness to Embrace Artificial Intelligence in Diagnosis and Treatment Decision-Making. Cureus 2023 View
  171. Ferrara E. Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies. SSRN Electronic Journal 2023 View
  172. Walton N, Nagarajan R, Wang C, Sincan M, Freimuth R, Everman D, Walton D, McGrath S, Lemas D, Benos P, Alekseyenko A, Song Q, Gamsiz Uzun E, Taylor C, Uzun A, Person T, Rappoport N, Zhao Z, Williams M. Enabling the clinical application of artificial intelligence in genomics: a perspective of the AMIA Genomics and Translational Bioinformatics Workgroup. Journal of the American Medical Informatics Association 2024;31(2):536 View
  173. Townsend B, Plant K, Hodge V, Ashaolu O, Calinescu R. Medical practitioner perspectives on AI in emergency triage. Frontiers in Digital Health 2023;5 View
  174. Falcone R, Sapienza A. The Role of Trust in Dependence Networks: A Case Study. Information 2023;14(12):652 View
  175. Rabindranath M, Naghibzadeh M, Zhao X, Holdsworth S, Brudno M, Sidhu A, Bhat M. Clinical Deployment of Machine Learning Tools in Transplant Medicine: What Does the Future Hold?. Transplantation 2023 View
  176. Gray M, Baird A, Sawyer T, James J, DeBroux T, Bartlett M, Krick J, Umoren R. Increasing Realism and Variety of Virtual Patient Dialogue: Novel Application of the Artificial Intelligence ChatGPT to enhance a Conversational Virtual Patient for Prenatal Counseling Education (Preprint). JMIR Medical Education 2023 View
  177. Barwise A, Curtis S, Diedrich D, Pickering B. Using artificial intelligence to promote equitable care for inpatients with language barriers and complex medical needs: clinical stakeholder perspectives. Journal of the American Medical Informatics Association 2024;31(3):611 View
  178. Racine N, Chow C, Hamwi L, Bucsea O, Cheng C, Du H, Fabrizi L, Jasim S, Johannsson L, Jones L, Laudiano-Dray M, Meek J, Mistry N, Shah V, Stedman I, Wang X, Riddell R. Health Care Professionals’ and Parents’ Perspectives on the Use of AI for Pain Monitoring in the Neonatal Intensive Care Unit: Multisite Qualitative Study. JMIR AI 2024;3:e51535 View
  179. George A, Sahadevan J. What determines behavioural intention in health services? A four-stage loyalty model. Rajagiri Management Journal 2024;18(2):180 View
  180. SOYSAL F. Enhancing Translation Studies with Artificial Intelligence (AI): Challenges, Opportunities, and Proposals. Karamanoğlu Mehmetbey Üniversitesi Uluslararası Filoloji ve Çeviribilim Dergisi 2023;5(2):177 View
  181. Ferrara E. Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies. Sci 2023;6(1):3 View
  182. Sassi Z, Hahn M, Eickmann S, Herrmann-Johns A, Tretter M. Beyond algorithmic trust: interpersonal aspects on consent delegation to LLMs. Journal of Medical Ethics 2024;50(2):139 View
  183. Hoebel K, Bridge C, Ahmed S, Akintola O, Chung C, Huang R, Johnson J, Kim A, Ly K, Chang K, Patel J, Pinho M, Batchelor T, Rosen B, Gerstner E, Kalpathy-Cramer J. Expert-centered Evaluation of Deep Learning Algorithms for Brain Tumor Segmentation. Radiology: Artificial Intelligence 2024;6(1) View
  184. Chen H, Ma X, Rives H, Serpedin A, Yao P, Rameau A. Trust in Machine Learning Driven Clinical Decision Support Tools Among Otolaryngologists. The Laryngoscope 2024;134(6):2799 View
  185. Shevtsova D, Ahmed A, Boot I, Sanges C, Hudecek M, Jacobs J, Hort S, Vrijhoef H. Trust in and Acceptance of Artificial Intelligence Applications in Medicine: Mixed Methods Study. JMIR Human Factors 2024;11:e47031 View
  186. Evans R, Bryant L, Russell G, Absolom K. Trust and acceptability of data-driven clinical recommendations in everyday practice: A scoping review. International Journal of Medical Informatics 2024;183:105342 View
  187. Venkatesh K, Brito G, Kamel Boulos M. Health Digital Twins in Life Science and Health Care Innovation. Annual Review of Pharmacology and Toxicology 2024;64(1):159 View
  188. Kim Y, Choi J, Fotso G. Medical professionals' adoption of AI-based medical devices: UTAUT model with trust mediation. Journal of Open Innovation: Technology, Market, and Complexity 2024;10(1):100220 View
  189. Abdelmoneim R, Jebreen K, Radwan E, Kammoun-Rebai W. Perspectives of Teachers on the Employ of Educational Artificial Intelligence Tools in Education: The Case of the Gaza Strip, Palestine. Human Arenas 2024 View
  190. Chen H, Cohen E, Wilson D, Alfred M. A Machine Learning Approach with Human-AI Collaboration for Automated Classification of Patient Safety Event Reports: Algorithm Development and Validation Study. JMIR Human Factors 2024;11:e53378 View
  191. Nong P, Hamasha R, Singh K, Adler-Milstein J, Platt J. How Academic Medical Centers Govern AI Prediction Tools in the Context of Uncertainty and Evolving Regulation. NEJM AI 2024;1(3) View
  192. Veetil I, Chowdary D, Chowdary P, Sowmya V, Gopalakrishnan E. An analysis of data leakage and generalizability in MRI based classification of Parkinson's Disease using explainable 2D Convolutional Neural Networks. Digital Signal Processing 2024;147:104407 View
  193. Wenderott K, Krups J, Luetkens J, Weigl M. Radiologists’ perspectives on the workflow integration of an artificial intelligence-based computer-aided detection system: A qualitative study. Applied Ergonomics 2024;117:104243 View
  194. Weber S, Wyszynski M, Godefroid M, Plattfaut R, Niehaves B. How do medical professionals make sense (or not) of AI? A social-media-based computational grounded theory study and an online survey. Computational and Structural Biotechnology Journal 2024;24:146 View
  195. Scholz D, Kraus J, Miller L. Measuring the Propensity to Trust in Automated Technology: Examining Similarities to Dispositional Trust in Other Humans and Validation of the PTT-A Scale. International Journal of Human–Computer Interaction 2024:1 View
  196. Olsen E, Novikov Z, Sakata T, Lambert M, Lorenzo J, Bohn R, Singer S. More isn’t always better: Technology in the intensive care unit. Health Care Management Review 2024;49(2):127 View
  197. Al-qaness M, Zhu J, AL-Alimi D, Dahou A, Alsamhi S, Abd Elaziz M, Ewees A. Chest X-ray Images for Lung Disease Detection Using Deep Learning Techniques: A Comprehensive Survey. Archives of Computational Methods in Engineering 2024 View
  198. Andargoli A, Ulapane N, Nguyen T, Shuakat N, Zelcer J, Wickramasinghe N. Intelligent decision support systems for dementia care: A scoping review. Artificial Intelligence in Medicine 2024;150:102815 View
  199. Carrera A, Manetti S, Lettieri E. Rewiring care delivery through Digital Therapeutics (DTx): a machine learning-enhanced assessment and development (M-LEAD) framework. BMC Health Services Research 2024;24(1) View
  200. Khosravi M, Zare Z, Mojtabaeian S, Izadi R. Ethical challenges of using artificial intelligence in healthcare delivery: a thematic analysis of a systematic review of reviews. Journal of Public Health 2024 View
  201. Miller M, McCann L, Lewis L, Miaskowski C, Ream E, Darley A, Harris J, Kotronoulas G, V Berg G, Lubowitzki S, Armes J, Patiraki E, Furlong E, Fox P, Gaiger A, Cardone A, Orr D, Flowerday A, Katsaragakis S, Skene S, Moore M, McCrone P, De Souza N, Donnan P, Maguire R. Patients’ and Clinicians’ Perceptions of the Clinical Utility of Predictive Risk Models for Chemotherapy-Related Symptom Management: Qualitative Exploration Using Focus Groups and Interviews. Journal of Medical Internet Research 2024;26:e49309 View
  202. Xu X, Li J, Zhu Z, Zhao L, Wang H, Song C, Chen Y, Zhao Q, Yang J, Pei Y. A Comprehensive Review on Synergy of Multi-Modal Data and AI Technologies in Medical Diagnosis. Bioengineering 2024;11(3):219 View
  203. Zhang T, Li W, Huang W, Ma L. Critical roles of explainability in shaping perception, trust, and acceptance of autonomous vehicles. International Journal of Industrial Ergonomics 2024;100:103568 View
  204. Choudhury A, Chaudhry Z. Large Language Models and User Trust: Consequence of Self-Referential Learning Loop and the Deskilling of Health Care Professionals. Journal of Medical Internet Research 2024;26:e56764 View
  205. Palmowski L, Nowak H, Witowski A, Koos B, Wolf A, Weber M, Kleefisch D, Unterberg M, Haberl H, von Busch A, Ertmer C, Zarbock A, Bode C, Putensen C, Limper U, Wappler F, Köhler T, Henzler D, Oswald D, Ellger B, Ehrentraut S, Bergmann L, Rump K, Ziehe D, Babel N, Sitek B, Marcus K, Frey U, Thoral P, Adamzik M, Eisenacher M, Rahmel T, Lazzeri C. Assessing SOFA score trajectories in sepsis using machine learning: A pragmatic approach to improve the accuracy of mortality prediction. PLOS ONE 2024;19(3):e0300739 View
  206. Esmaeilzadeh P. Challenges and strategies for wide-scale artificial intelligence (AI) deployment in healthcare practices: A perspective for healthcare organizations. Artificial Intelligence in Medicine 2024;151:102861 View
  207. Alshehri S, Alahmari K, Alasiry A. A Comprehensive Evaluation of AI-Assisted Diagnostic Tools in ENT Medicine: Insights and Perspectives from Healthcare Professionals. Journal of Personalized Medicine 2024;14(4):354 View
  208. Hennrich J, Ritz E, Hofmann P, Urbach N. Capturing artificial intelligence applications’ value proposition in healthcare – a qualitative research study. BMC Health Services Research 2024;24(1) View
  209. Kim J, Yang H, Kim B, Ryan K, Roberts L. Understanding Physician’s Perspectives on AI in Health Care: Protocol for a Sequential Multiple Assignment Randomized Vignette Study. JMIR Research Protocols 2024;13:e54787 View
  210. Saber A, Ahmed S, Hussein S, Qurbani K. Artificial intelligence-assisted nursing interventions in psychiatry for oral cancer patients: A concise narrative review. Oral Oncology Reports 2024;10:100343 View
  211. Huang W, Ong W, Wong M, Ng E, Koh T, Chandramouli C, Ng C, Hummel Y, Huang F, Lam C, Tromp J. Applying the UTAUT2 framework to patients’ attitudes toward healthcare task shifting with artificial intelligence. BMC Health Services Research 2024;24(1) View
  212. Azzali I, Cilia N, De Stefano C, Fontanella F, Giacobini M, Vanneschi L. Automatic feature extraction with Vectorial Genetic Programming for Alzheimer’s Disease prediction through handwriting analysis. Swarm and Evolutionary Computation 2024;87:101571 View
  213. Rafiq M, Mazzocato P, Guttmann C, Spaak J, Savage C. Predictive analytics support for complex chronic medical conditions: An experience-based co-design study of physician managers’ needs and preferences. International Journal of Medical Informatics 2024;187:105447 View
  214. Pinsky M, Bedoya A, Bihorac A, Celi L, Churpek M, Economou-Zavlanos N, Elbers P, Saria S, Liu V, Lyons P, Shickel B, Toral P, Tscholl D, Clermont G. Use of artificial intelligence in critical care: opportunities and obstacles. Critical Care 2024;28(1) View
  215. Sloss E, McPherson J, Beck A, Guo J, Scheese C, Flake N, Chalkidis G, Staes C. Patient and Caregiver Perceptions of an Interface Design to Communicate Artificial Intelligence–Based Prognosis for Patients With Advanced Solid Tumors. JCO Clinical Cancer Informatics 2024;(8) View
  216. Roemmich K, Corvite S, Pyle C, Karizat N, Andalibi N. Emotion AI Use in U.S. Mental Healthcare: Potentially Unjust and Techno-Solutionist. Proceedings of the ACM on Human-Computer Interaction 2024;8(CSCW1):1 View
  217. Zhan X, Abdi N, Seymour W, Such J. Healthcare Voice AI Assistants: Factors Influencing Trust and Intention to Use. Proceedings of the ACM on Human-Computer Interaction 2024;8(CSCW1):1 View
  218. Xue C, Zhang H, Cao H. Multi-agent modelling and analysis of the knowledge learning of a human-machine hybrid intelligent organization with human-machine trust. Systems Science & Control Engineering 2024;12(1) View
  219. Alajaji S, Khoury Z, Jessri M, Sciubba J, Sultan A. An Update on the Use of Artificial Intelligence in Digital Pathology for Oral Epithelial Dysplasia Research. Head and Neck Pathology 2024;18(1) View
  220. Pan Z, Xie Z, Liu T, Xia T. Exploring the Key Factors Influencing College Students’ Willingness to Use AI Coding Assistant Tools: An Expanded Technology Acceptance Model. Systems 2024;12(5):176 View
  221. Zhang C, Yao L, Jiang R, Wang J, Wu H, Li X, Wu Z, Luo R, Luo C, Tan X, Wang W, Xiao B, Hu H, Yu H. Assessment of the role of false‐positive alerts in computer‐aided polyp detection for assistance capabilities. Journal of Gastroenterology and Hepatology 2024 View
  222. Küper A, Krämer N. Psychological Traits and Appropriate Reliance: Factors Shaping Trust in AI. International Journal of Human–Computer Interaction 2024:1 View
  223. Mahmoudi H, Moradi M. The Progress and Future of Artificial Intelligence in Nursing Care: A Review. The Open Public Health Journal 2024;17(1) View
  224. Alelyani T, Alshammari M, Almuhanna A, Asan O. Explainable Artificial Intelligence in Quantifying Breast Cancer Factors: Saudi Arabia Context. Healthcare 2024;12(10):1025 View
  225. Schoenherr J, Thomson R. When AI Fails, Who Do We Blame? Attributing Responsibility in Human–AI Interactions. IEEE Transactions on Technology and Society 2024;5(1):61 View
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Books/Policy Documents

  1. Diaz-Flores E, Meyer T, Giorkallos A. Smart Biolabs of the Future. View
  2. Azzali I, Cilia N, De Stefano C, Fontanella F, Giacobini M, Vanneschi L. Applications of Evolutionary Computation. View
  3. Whitehead S, Petryk S, Shakib V, Gonzalez J, Darrell T, Rohrbach A, Rohrbach M. Computer Vision – ECCV 2022. View
  4. Dykstra S, White J, Gavrilova M. Handbook of Artificial Intelligence in Healthcare. View
  5. Korngiebel D, Solomonides A, Goodman K. Intelligent Systems in Medicine and Health. View
  6. Nesterenko K, Lewis R. Foundations of Intelligent Systems. View
  7. Tuncer S, Ramirez A. HCI International 2022 – Late Breaking Papers: Interacting with eXtended Reality and Artificial Intelligence. View
  8. Ganapathy K. Augmenting Neurological Disorder Prediction and Rehabilitation Using Artificial Intelligence. View
  9. D. J, A. P. Encyclopedia of Data Science and Machine Learning. View
  10. Rueckert D, Knolle M, Duchateau N, Razavi R, Kaissis G. AI and Big Data in Cardiology. View
  11. Rao Bhavaraju S. Artificial Intelligence in Medicine and Surgery - An Exploration of Current Trends, Potential Opportunities, and Evolving Threats - Volume 1. View
  12. Brown E, Hannah-Shmouni F, Shekhar S. Artificial Intelligence in Clinical Practice. View
  13. Awotunde J, Imoize A, Adeniyi A, Abiodun K, Ayo E, Kavitha K, Ajamu G, Ogundokun R. Explainable Machine Learning for Multimedia Based Healthcare Applications. View
  14. Beani E, Filogna S, Cioni G, Sgandurra G. Family-Centered Care in Childhood Disability. View
  15. Wang B, Zhou J, Li Y, Chen F. AI 2023: Advances in Artificial Intelligence. View
  16. Faruqe F, Medsker L, Watkins R. Cutting Edge Applications of Computational Intelligence Tools and Techniques. View
  17. Aliferis C, Simon G. Artificial Intelligence and Machine Learning in Health Care and Medical Sciences. View
  18. Kruczkowski M, Drabik-Kruczkowska A, Wesołowski R, Kloska A, Pinheiro M, Fernandes L, Galan S. . View
  19. Singh V. Artificial Intelligence and Machine Learning for Women’s Health Issues. View
  20. Singhal S, Sharma A, Singh A, Pandey A, Sharma A. Advancing Software Engineering Through AI, Federated Learning, and Large Language Models. View
  21. Wong B, Vengusamy S, Chua C. Digital Healthcare in Asia and Gulf Region for Healthy Aging and More Inclusive Societies. View