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A Perspective from a Case Conference on Comparing the Diagnostic Process

Human Diagnostic Thinking vs. Artificial Intelligence (AI) Decision Support Tools

Bibliographic Data

ID15501599
AuthorsTaku Harada (0000-0001-8794-6744, Showa University Koto Toyosu Hospital), Taro Shimizu (0000-0002-3788-487X, Dokkyo Medical University, corresponding author), Yuki Kaji (0000-0002-0267-9876, Mie Chuo Medical Center), Yasuhiro Suyama (0000-0002-9298-9121, JR Tokyo General Hospital), Tomohiro Matsumoto (0000-0002-6156-8842), Chintaro Kosaka (Mie Chuo Medical Center), Hidefumi Shimizu (Tokyo Yamate Medical Center), Takatoshi Nei (Nippon Medical School Hospital), Satoshi Watanuki (0000-0002-9331-6236, Tokyo Metropolitan Tama Medical Center)
Year2020
Volume17
Issue17
Pages6110-6110
Publication date2020-08-22
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph17176110
PMID32842581
OpenAlexW3081023702
LanguageEN
Citations received2
References cited1

Artificial intelligence (AI) has made great contributions to the healthcare industry. However, its effect on medical diagnosis has not been well explored. Here, we examined a trial comparing the thinking process between a computer and a master in diagnosis at a clinical conference in Japan, with a focus on general diagnosis. Consequently, not only was AI unable to exhibit its thinking process, it also failed to include the final diagnosis. The following issues were highlighted: (1) input information to AI could not be weighted in order of importance for diagnosis; (2) AI could not deal with comorbidities (see Hickam's dictum); (3) AI was unable to consider the timeline of the illness (depending on the tool); (4) AI was unable to consider patient context; (5) AI could not obtain input information by themselves. This comparison of the thinking process uncovered a future perspective on the use of diagnostic support tools

Applications of artificial intelligence · Context (archaeology · Decision support system · Management science · Perspective (graphical · Process (computing · Thinking processes · Timeline · Artificial Intelligence in Healthcare and Education · Clinical Reasoning and Diagnostic Skills · Computer Science · Engineering · Machine Learning in Healthcare · Psychology · Artificial Intelligence

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Citations per year0.4
Citation span2021 - 2021 (1)
Highly citedNo

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