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LLM-Generated Lay Summaries for Brain MRI Reports
Sponsor: University Hospital, Lille
Summary
The goal of this clinical trial is to learn if a summary written by artificial intelligence (AI) helps adults understand brain MRI reports for headaches. The main question it aims to answer is: "Does adding a simple summary help readers correctly understand if a cause for the headache was found in the report?" Researchers will compare standard MRI reports to reports that include an AI-generated explanation to see if the extra summary improves understanding. Participants will: Read 6 fictional brain MRI reports online. Answer questions to check if they understood the results. Rate their satisfaction and if they feel they would need to ask a doctor for help.
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
1200
Start Date
2025-12-10
Completion Date
2026-02-25
Last Updated
2025-12-30
Healthy Volunteers
Yes
Conditions
Interventions
LLM-generated lay summary
Participants assigned to this group read fictional brain MRI reports that include an additional summary paragraph generated by an artificial intelligence tool. Specifically, an open-weights Large Language Model (LLM) with fewer than 100 billion parameters is used, hosted locally on a secure server to ensure data privacy. This model generates a short synthesis designed to be clear and structured for non-medical readers. This summary is inserted into the report under the heading Synthesis intended for the patient and non-radiologist physician. The intervention consists solely of this added text; the standard medical content of the report remains unchanged.