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

Trial statusRecruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age18+
SponsorLahore University of Management Sciences

About this trial

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.

Eligibility criteria

Qualifiers

Enrolled student or employed administrative staff at LUMS.

18 years of age or older.

Able to read and understand English.

Disqualifiers

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

Trial design

Treatments tested in this trial

  • new GPT-4o Interface
  • Control

Treatment groups

220 Participants
are divided into 2 treatment groups