Efficacy of Artificial-Intelligence-Driven Differential-Diagnosis List on the Diagnostic Accuracy of Physicians: An Open-Label Randomized Controlled Study

Efficacy of Artificial-Intelligence-Driven Differential-Diagnosis List on the Diagnostic Accuracy of Physicians: An Open-Label Randomized Controlled Study

Background: The efficacy of artificial intelligence (AI)-driven automated medical-history-taking systems with AI-driven differential-diagnosis lists on physicians’ diagnostic accuracy was shown. However, considering the negative effects of AI-driven differential-diagnosis lists such as omission (phy...

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Bibliographic Details
Main Authors: Yukinori Harada, Shinichi Katsukura, Ren Kawamura, Taro Shimizu
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:International Journal of Environmental Research and Public Health
Subjects:
artificial intelligence
automated medical-history-taking system
commission errors
diagnostic accuracy
differential-diagnosis list
omission errors
Online Access:https://www.mdpi.com/1660-4601/18/4/2086

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