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

Decision Support for Health Professionals (1185) Clinical Information and Decision Making (1407) Mobile Health (mhealth) (2939) Imaging Informatics (193) Machine Learning (1465)

Published on in Vol 7, No 3 (2019): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10010, first published .
Artificial Intelligence Versus Clinicians in Disease Diagnosis: Systematic Review

Artificial Intelligence Versus Clinicians in Disease Diagnosis: Systematic Review

Artificial Intelligence Versus Clinicians in Disease Diagnosis: Systematic Review

Authors of this article:

Jiayi Shen1, 2 Author Orcid Image ;   Casper J P Zhang3 Author Orcid Image ;   Bangsheng Jiang4, 5 Author Orcid Image ;   Jiebin Chen6 Author Orcid Image ;   Jian Song7 Author Orcid Image ;   Zherui Liu6 Author Orcid Image ;   Zonglin He4, 5 Author Orcid Image ;   Sum Yi Wong4, 5 Author Orcid Image ;   Po-Han Fang4, 5 Author Orcid Image ;   Wai-Kit Ming1, 4, 8, 9 Author Orcid Image
Article Authors Cited by (165) Tweetations (53) Metrics

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  122. Uğraş Tiryaki E, Şimşek E. Artificial Intelligence Applications in Health. Arşiv Kaynak Tarama Dergisi 2024;33(2):98 View
  123. Mohammed E, Fakhrudeen A, Alani O. Detection of Alzheimer's disease using deep learning models: A systematic literature review. Informatics in Medicine Unlocked 2024;50:101551 View
  124. Gargari O, Fatehi F, Mohammadi I, Firouzabadi S, Shafiee A, Habibi G. DIAGNOSTIC ACCURACY OF LARGE LANGUAGE MODELS IN PSYCHIATRY. Asian Journal of Psychiatry 2024:104168 View
  125. Rosenbacke R, Melhus Å, McKee M, Stuckler D. AI and XAI second opinion: the danger of false confirmation in human–AI collaboration. Journal of Medical Ethics 2024:jme-2024-110074 View
  126. Keni S. Evaluating artificial intelligence for medical imaging: a primer for clinicians. British Journal of Hospital Medicine 2024;85(7):1 View
  127. Yoshihara H, Fukuda M, Hanawa T, Tsugawa Y. Identifying sex from pharyngeal images using deep learning algorithm. Scientific Reports 2024;14(1) View
  128. Durmuş M, Kömeç S, Gülmez A. Artificial intelligence applications for immunology laboratory: image analysis and classification study of IIF photos. Immunologic Research 2024 View
  129. Ouanes K, Farhah N. Effectiveness of Artificial Intelligence (AI) in Clinical Decision Support Systems and Care Delivery. Journal of Medical Systems 2024;48(1) View
  130. Lei Y, Kim R. Automation and Augmentation: Artificial Intelligence, Robots, and Work. Annual Review of Sociology 2024;50(1):251 View
  131. Perivolaris A, Adams-McGavin C, Madan Y, Kishibe T, Antoniou T, Mamdani M, Jung J. Quality of interaction between clinicians and artificial intelligence systems. A systematic review. Future Healthcare Journal 2024;11(3):100172 View
  132. Yuriy R, Tatarina O, Kaminskyy V, Silina T, Bashkirova L. Modern Methods and Prospects for Using Artificial Intelligence in Disease Diagnostics: A Narrative Review. Futurity Medicine 2024;3(4) View
  133. Wilhelm C, Steckelberg A, Rebitschek F. Is artificial intelligence for medical professionals serving the patients?. Systematic Reviews 2024;13(1) View
  134. Ma H, Huang W, Dennis A. Unintended Consequences of Disclosing Recommendations by Artificial Intelligence versus Humans on True and Fake News Believability and Engagement. Journal of Management Information Systems 2024;41(3):616 View
  135. Benameur N, Sassi A, Ouarda W, Mahmoudi R, Arous Y, Mohammed M, Amar C, Labidi S, Mahjoubi H. Deciphering the Complexities of COVID‐19‐Related Cardiac Complications: Enhancing Classification Accuracy With an Advanced Deep Learning Framework. International Journal of Imaging Systems and Technology 2024;34(5) View
  136. Larsen A, Sopina L, Aasvang E, Meyhoff C, Kristensen S, Kjellberg J. Estimation of the maximum potential cost saving from reducing serious adverse events in hospitalized patients. Acta Anaesthesiologica Scandinavica 2024;68(10):1471 View
  137. Hassan E, El-Ashry A. Leading with AI in critical care nursing: challenges, opportunities, and the human factor. BMC Nursing 2024;23(1) View
  138. Jahrami H, Pakpour A, Husain W, Ammar A, Saif Z, Alsalman A, Aloffi A, Trabelsi K, Pandi-Perumal S, Vitiello M. How accurately can supervised machine learning model predict a targeted psychiatric disorder?. BMC Psychiatry 2024;24(1) View
  139. Okwor I, Hitch G, Hakkim S, Akbar S, Sookhoo D, Kainesie J. Digital Technologies Impact on Healthcare Delivery: A Systematic Review of Artificial Intelligence (AI) and Machine-Learning (ML) Adoption, Challenges, and Opportunities. AI 2024;5(4):1918 View
  140. Mijwil M. Smart architectures: computerized classification of brain tumors from MRI images utilizing deep learning approaches. Multimedia Tools and Applications 2024 View
  141. Voinea Ș, Mămuleanu M, Teică R, Florescu L, Selișteanu D, Gheonea I. GPT-Driven Radiology Report Generation with Fine-Tuned Llama 3. Bioengineering 2024;11(10):1043 View
  142. Rinne S, Brunner J, Hogan T, Ferguson J, Helmer D, Hysong S, McKee G, Midboe A, Shepherd-Banigan M, Elwy A. A use case of ChatGPT: summary of an expert panel discussion on electronic health records and implementation science. Frontiers in Digital Health 2024;6 View
  143. Oh O, Demiris G, Ulrich C. The ethical dimensions of utilizing Artificial Intelligence in palliative care. Nursing Ethics 2024 View

Books/Policy Documents

  1. Holowka E, Woods S, Pahayahay A, Roy M, Khalili-Mahani N. Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. AI, Product and Service. View
  2. Campagner A, Conte E, Cabitza F. Machine Learning and Knowledge Extraction. View
  3. Lee T, Puyol-Antón E, Ruijsink B, Shi M, King A. Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers. View
  4. Karwasra R, Khanna K, Sharma N, Malhotra R, Sharma S, Singh S, Ali A, Verma S. Nature-Inspired Intelligent Computing Techniques in Bioinformatics. View
  5. Hassan A. Future of Organizations and Work After the 4th Industrial Revolution. View
  6. Pinto C, Faria J, Macedo L. Progress in Artificial Intelligence. View
  7. Xie S, Chen Y, Sun M, Ji S, Lu G, Li R, Wang M, Liu H, Zhang H. Proceedings of the 12th International Conference on Computer Engineering and Networks. View
  8. Avila-Ponce de León U, Vazquez-Jimenez A, Cervera A, Resendis-González G, Neri-Rosario D, Resendis-Antonio O. Application of Omic Techniques to Identify New Biomarkers and Drug Targets for COVID-19. View
  9. Wanis M, Yi W. Pharmaceutical Care in Digital Revolution. View
  10. Wrench J, Elmoudden S. The Role of Generative AI in the Communication Classroom. View
  11. Simon G, Aliferis C. Artificial Intelligence and Machine Learning in Health Care and Medical Sciences. View
  12. Karwasra R, Khanna K, Sharma N, Malhotra R, Sharma S, Singh S, Ali A, Verma S. Von der Natur inspirierte intelligente Datenverarbeitungstechniken in der Bioinformatik. View
  13. Vyas A, Pratap Singh A, Dave A, Dave S. Smart Healthcare and Machine Learning. View
  14. Dwivedi D, Mahanty G, Mahanty M. AI Healthcare Applications and Security, Ethical, and Legal Considerations. View
  15. Marzo R. Modern Management Science Practices in the Age of AI. View
  16. Bharadwaj A. Green Industrial Applications of Artificial Intelligence and Internet of Things. View
  17. Rani S, Kataria A, Bhambri P, Pareek P, Puri V. Revolutionizing Healthcare: AI Integration with IoT for Enhanced Patient Outcomes. View