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Evaluation of the Clinical Utility of AI-Generated Medical Literature Summaries: A Single-Blind Comparative Study with Conventional Secondary Sources

Evaluation of the Clinical Utility of AI-Generated Medical Literature Summaries: A Single-Blind Comparative Study with Conventional Secondary Sources - Evaluation of the Clinical Utility of AI-Generated Medical Literature Summaries: A Single-Blind Comparative Study with Conventional Secondary Sources

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
JPRN
Registry ID
JPRN-UMIN000061277
Enrollment
24
Registered
2026-04-17
Start date
2026-04-25
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

General medical conditions (Primary care topics)

Interventions

Group for evaluating Set A:Participants evaluate the utility of 20 Japanese-translated medical literature summaries: 1. Control (10 items): Original UpToDate summaries in text format. 2. Interventio
s references as sources, following UpToDate&#39
s original structure and style. Group for evaluating Set B: Participants evaluate 20 Japanese-translated summaries where the assignment of &quot
Intervention&quot
and &quot
is the inverse of Set A for each clinical topic.

Sponsors

Dokkyo Medical University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. Physicians belonging to the Department of General Medicine, Dokkyo Medical University Hospital 2. Individuals who have provided voluntary written informed consent after receiving a thorough explanation of this study

Exclusion criteria

Exclusion criteria: Individuals who are judged by the principal investigator to be inappropriate for participation in this study.

Design outcomes

Primary

MeasureTime frame
Comparison of clinical acceptability as assessed by participants using a 5-point Likert scale.

Secondary

MeasureTime frame
Comparison of usability and perceived safety as assessed by participants using 5-point Likert scales, and comparison of the accuracy of source identification.

Countries

Japan

Contacts

Public ContactArisa Hayashi

Dokkyo Medical University Department of Diagnostic and Generalist Medicine

arisa.hayashi211@gmail.com0282-87-2498

Outcome results

None listed

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