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

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.

Inclusion Criteria: * Enrolled student or employed administrative staff at LUMS. * 18 years of age or older. * Able to read and understand English. Exclusion Criteria: * Individuals with any formal education or professional training in medicine, nursing, or any other healthcare profession.