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

NCT06774612 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 60

Last updated 2025-07-17

No results posted yet for this study

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.

Conditions

  • Diagnosis

Interventions

OTHER

ChatGPT-4o

OpenAI's ChatGPT-4o large language model with chat interface.

Sponsors & Collaborators

  • King Edward Medical University

    collaborator OTHER

  • Lahore University of Management Sciences

    lead OTHER

Principal Investigators

  • Ihsan Ayyub Qazi, PhD · Lahore University of Management Sciences

  • Muhammad Asadullah Khawaja, MBBS · King Edward Medical University

  • Ayesha Ali, PhD · Lahore University of Management Sciences

Study Design

Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
NONE
Model
PARALLEL

Eligibility

Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2025-01-10
Primary Completion
2025-05-17
Completion
2025-05-17

Countries

  • Pakistan

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06774612 on ClinicalTrials.gov