Improving AI-Assisted Medical Diagnosis and Triage by the General Public

Recruiting now · Not applicable

Conditions studied: AI-Assisted Diagnosis, Large Language Models

In brief

This study is a randomized controlled trial (RCT) investigating whether access to a new LLM interface can improve medical triage and diagnostic accuracy for laypeople compared to access to a standard LLM interface. It addresses previous findings where laypeople using standard LLMs performed worse than those using conventional methods (e.g., web search) due to incomplete symptom sharing and poor interpretation of AI advice. To address this, the research tests a structured LLM system that proactively asks clinical history questions before providing a standardized, easy-to-read diagnostic output.

Key facts

Study ID

NCT07728513

Run by

Lahore University of Management Sciences

People needed

220

Starts

2026-07-25

Expected to finish

2027-07-01

Last updated by the study team

2026-07-27

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: accepted.

You may qualify if…

• Enrolled student or employed administrative staff at LUMS.
• 18 years of age or older.
• Able to read and understand English.

You may not qualify if…

• Individuals with any formal education or professional training in medicine, nursing, or any other healthcare profession.

Where it is running

• Lahore University of Management Sciences — Lahore, Punjab Province, Pakistan (enrolling)

Full record on ClinicalTrials.gov

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