LLM-Generated Lay Summaries for Brain MRI Reports
NCT07310394 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 2727
Last updated 2026-05-13
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.
Conditions
Interventions
- OTHER
-
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.
Sponsors & Collaborators
-
Direction Générale de l'Offre de Soins
collaborator OTHER_GOV -
University Hospital, Lille
lead OTHER
Study Design
- Allocation
- RANDOMIZED
- Purpose
- OTHER
- Masking
- SINGLE
- Model
- PARALLEL
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2026-03-25
- Primary Completion
- 2026-04-30
- Completion
- 2026-04-30
Countries
- France
Study Locations
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