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

Recruiting N/A Interventional Study
AI-Assisted Diagnosis Large Language Models
Healthy Volunteers Welcome You do not need to have the condition being studied to take part.
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At a Glance
Age
18 and older
Sex
Any
Study type
Interventional
Purpose
Diagnostic
Participants needed
220 (estimated)
Sponsor
Lahore University of Management Sciences · Other
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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 in…
Trial Locations
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Eligibility Criteria
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.
Contacts

Ihsan Ayyub Qazi, PhD

+923233333766

ihsan.qazi@lums.edu.pk

CONTACT

Ayesha Ali, PhD

04235608368

ayeshaali@lums.edu.pk

CONTACT