CompletedNot Applicable

The Impact of Large Language Models on Diagnostic Reasoning Among LLM-Trained Medical Doctors

Pakistan60 participantsStarted 2025-01-10

Plain-language summary

This study aims to evaluate whether large language model-trained medical doctors demonstrate enhanced diagnostic reasoning performance when utilizing ChatGPT-4o alongside conventional resources compared to using conventional resources alone.

Who can participate

SexALL

See this in plain English?

AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.

Inclusion Criteria: * Full or Provisionally Registered Medical Practitioners with the Pakistan Medical and Dental Council (PMDC). * Completed Bachelor of Medicine, Bachelor of Surgery (MBBS) Exam. The equivalent degree of MBBS in US and Canada is called Doctor of Medicine (MD). * Participants must have completed a structured training program on the use of ChatGPT (or a comparable large language model), totaling at least 10 hours of instruction. The program must include hands-on practice related to LLM's aspects, specifically prompt engineering and content evaluation. Exclusion Criteria: * Any other Registered Medical Practitioners (Full or Provisional) with PMDC (e.g., Professionals with Bachelor of Dental Surgery or BDS).

What they're measuring

Diagnostic reasoning

Timeframe: Assessed at a single time point for each case, during the scheduled diagnostic reasoning evaluation session, which takes place between 0-4 days after participant enrollment.

Trial details

NCT IDNCT06774612

SponsorLahore University of Management Sciences

Sponsor typeOTHER

Study typeINTERVENTIONAL

Primary completion2025-05-17

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