Unique ID issued by UMIN | UMIN000042881 |
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Receipt number | R000048705 |
Scientific Title | The efficacy of AI-driven differential diagnosis list for physicians to generate a correct diagnostic hypothesis: an open-label randomized controlled study |
Date of disclosure of the study information | 2021/01/01 |
Last modified on | 2021/02/22 08:55:19 |
The efficacy of AI-driven differential diagnosis list for physicians to generate a correct diagnostic hypothesis: an open-label randomized controlled study
The efficacy of AI-driven differential diagnosis list for physicians to generate a correct diagnostic hypothesis: an open-label randomized controlled study
The efficacy of AI-driven differential diagnosis list for physicians to generate a correct diagnostic hypothesis: an open-label randomized controlled study
The efficacy of AI-driven differential diagnosis list for physicians to generate a correct diagnostic hypothesis: an open-label randomized controlled study
Japan |
Diseases in general internal medicine
Medicine in general | Adult |
Others
NO
Clarify the effects of the list of AI-driven differential diagnoses on the diagnostic accuracy of physicians
Efficacy
The prevalence that the list of differential diagnoses made by physicians include the accurate diagnosis
The association between the accuracy of the physician's diagnosis and sex, the degree of trust in AI, whether the list of AI-driven differential diagnosis includes the accurate diagnosis or not.
Interventional
Parallel
Randomized
Individual
Open -but assessor(s) are blinded
No treatment
YES
NO
Institution is not considered as adjustment factor.
YES
Central registration
2
Diagnosis
Device,equipment |
Participants are required to develop up to three differential diagnoses for 16 clinical scenarios (which are chosen from real cases). Participants develop up to three differential diagnoses within two minutes by reading the documentation of patient history written by the AI-driven automated history taking system with an AI-driven list of differential diagnoses (included 10 diseases)
Participants are required to develop up to three differential diagnoses for 16 clinical scenarios (which are chosen from real cases). Participants develop up to three differential diagnoses within two minutes by reading the documentation of patient history written by the AI-driven automated history taking system without an AI-driven list of differential diagnoses
24 | years-old | <= |
65 | years-old | > |
Male and Female
Junior residents (postgraduate year 1 or 2) working at Dokkyo Medical University Hospital and physicians working at the Department of Diagnostic and Generalist Medicine in Dokkyo Medical University Hospital
no consent for participating in this study
22
1st name | YUKINORI |
Middle name | |
Last name | HARADA |
Nagano Chuo Hospital
Internal Medicine
380-0814
1570 Nishitsuruga-machi, Nagano-city
026-234-3211
yuki.gym23@gmail.com
1st name | YUKINORI |
Middle name | |
Last name | HARADA |
Nagano Chuo Hospital
Internal Medicine
380-0814
1570 Nishitsuruga-machi, Nagano-city
026-234-3211
yuki.gym23@gmail.com
Nagano Chuo Hospital
Nagano Chuo Hospital
Self funding
Department of Diagnostic and Generalist Medicine, Dokkyo Medical University
Research Ethics Committee of Nagano Chuo Hospital
1570 Nishitsuruga-machi, Nagano-city
026-234-3211
a-uehara@healthcoop-nagano.or.jp
NO
2021 | Year | 01 | Month | 01 | Day |
Published
https://www.mdpi.com/1660-4601/18/4/2086/htm
22
Main results already published
2020 | Year | 12 | Month | 07 | Day |
2020 | Year | 12 | Month | 18 | Day |
2021 | Year | 01 | Month | 04 | Day |
2021 | Year | 01 | Month | 15 | Day |
2021 | Year | 01 | Month | 15 | Day |
2021 | Year | 01 | Month | 15 | Day |
2021 | Year | 02 | Month | 22 | Day |
2020 | Year | 12 | Month | 31 | Day |
2021 | Year | 02 | Month | 22 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000048705
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