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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

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
JPRN
Registry ID
JPRN-UMIN000042881
Enrollment
22
Registered
2021-01-01
Start date
2021-01-04
Completion date
Unknown
Last updated
2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Diseases in general internal medicine

Interventions

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

Sponsors

Nagano Chuo Hospital
Lead Sponsor
Department of Diagnostic and Generalist Medicine, Dokkyo Medical University
Collaborator

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 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

Exclusion criteria

Exclusion criteria: no consent for participating in this study

Design outcomes

Primary

MeasureTime frame
The prevalence that the list of differential diagnoses made by physicians include the accurate diagnosis—

Secondary

MeasureTime frame
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.—

Countries

Japan

Contacts

Public ContactYUKINORI HARADA

Nagano Chuo Hospital Internal Medicine

yuki.gym23@gmail.com026-234-3211

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026