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

Journals

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  42. Torrent-Sellens J, Jiménez-Zarco A, Saigí-Rubió F. Do People Trust in Robot-Assisted Surgery? Evidence from Europe. International Journal of Environmental Research and Public Health 2021;18(23):12519 View
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  44. Hah H, Goldin D. How Clinicians Perceive Artificial Intelligence–Assisted Technologies in Diagnostic Decision Making: Mixed Methods Approach. Journal of Medical Internet Research 2021;23(12):e33540 View
  45. Germain P, Vardazaryan A, Padoy N, Labani A, Roy C, Schindler T, El Ghannudi S. Deep Learning Supplants Visual Analysis by Experienced Operators for the Diagnosis of Cardiac Amyloidosis by Cine-CMR. Diagnostics 2021;12(1):69 View
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  49. Martinez-Millana A, Saez-Saez A, Tornero-Costa R, Azzopardi-Muscat N, Traver V, Novillo-Ortiz D. Artificial intelligence and its impact on the domains of universal health coverage, health emergencies and health promotion: An overview of systematic reviews. International Journal of Medical Informatics 2022;166:104855 View
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  67. Zhang X, Xie Z, Xiang Y, Baig I, Kozman M, Stender C, Giancardo L, Tao C. Issues in Melanoma Detection: Semisupervised Deep Learning Algorithm Development via a Combination of Human and Artificial Intelligence. JMIR Dermatology 2022;5(4):e39113 View
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