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Physician Reasoning on Diagnostic Cases With Large Language Models

NCT06157944 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 50

Last updated 2024-02-20

No results posted yet for this study

Summary

This study will evaluate the effect of providing access to GPT-4, a large language model, compared to traditional diagnostic decision support tools on performance on case-based diagnostic reasoning tasks.

Conditions

  • Diagnosis

Interventions

OTHER

GPT-4

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

Sponsors & Collaborators

Principal Investigators

  • Jonathan H Chen, MD, PhD · Stanford University

  • Adam Rodman, MD · Beth Israel Deaconess Medical Center

  • Andrew Olson, MD · University of Minnesota

Study Design

Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
SINGLE
Model
PARALLEL

Eligibility

Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2023-11-29
Primary Completion
2023-12-30
Completion
2023-12-30

Countries

  • United States

Study Locations

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Entities

Companies

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 NCT06157944 on ClinicalTrials.gov