The Illusion of Understanding: A Randomized Controlled Trial of LLM-Generated Lay Summaries of Brain MRI Reports
Discuss this preprint
Start a discussion What are Sciety discussions?Listed in
This article is not in any list yet, why not save it to one of your lists.Abstract
Background
Large language models have been proposed to improve patient comprehension of radiology reports. However, whether they improve objective understanding remains unproven.
Purpose
To evaluate the effect of appending an LLM-generated lay summary to brain MRI reports on objective and subjective patient comprehension in a randomized controlled trial.
Materials and Methods
In this randomized controlled trial, 2,727 adult participants from the ComPaRe e-cohort were randomly assigned to interpret six standardized brain MRI reports for headache, presented either in their native format (control; n = 1,401) or appended with a lay summary generated by an open-weights LLM (Mistral Small 3.2) (intervention; n = 1,326). The primary outcome was objective comprehension, defined as the rate of correct classification of whether the report provided a probable explanation for the headache, with ground truth established by four-radiologist consensus. Secondary outcomes included satisfaction, subjective comprehension, anxiety, and willingness to contact a healthcare professional. Generalized estimating equations accounted for repeated within-participant observations.
Results
A total of 2,727 participants (mean age, 52 years ± 15; 75.2% women) were evaluated. Objective comprehension did not differ between arms (58.3% vs 59.4%; odds ratio (OR) 0.97; 95% CI: 0.90–1.06; P = .54). The intervention significantly improved overall satisfaction (64.9% vs 36.7%; OR 3.26; 95% CI: 2.93–3.64; P < .001) and subjective comprehension (50.3% vs 24.0%; OR 3.17; 95% CI: 2.82–3.56; P < .001). High anxiety was modestly reduced (25.1% vs 26.6%; OR 0.92; P = .037). The effect on objective comprehension varied by report type (P for interaction < .001): summaries improved comprehension of symptom-explaining reports (42.4% vs 37.4%; P < .001) but reduced it for normal reports (72.5% vs 76.6%; P = .001).
Conclusion
LLM-generated lay summaries appended to brain MRI reports improved patient satisfaction and subjective comprehension but did not improve objective comprehension, indicating a gap between perceived and actual understanding that should be addressed before clinical integration.
Summary Statement
In this randomized controlled trial of 2,727 participants, LLM-generated lay summaries appended to brain MRI reports improved patient satisfaction and subjective comprehension but did not improve objective comprehension of findings.
Key Results
Adding an LLM-generated lay summary to brain MRI reports did not improve the rate of correct identification of symptom-explaining findings (58.3% vs 59.4%; odds ratio, 0.97; 95%CI: 0.90–1.06; P = .54).
The intervention markedly improved overall satisfaction (64.9% vs 36.7%; odds ratio, 3.26; 95% CI: 2.93–3.64; P < .001) and subjective comprehension (50.3% vs 24.0%; odds ratio,3.17; 95% CI: 2.82–3.56; P < .001).
The effect on objective comprehension varied by report type: summaries improved comprehension of symptom-explaining reports (42.4% vs 37.4%; P < .001) but reduced comprehension of normal reports (72.5% vs 76.6%; P = .001).