AI-Driven Information for Relatives of Patients with Malignant Middle Cerebral Artery Infarction: A Preliminary Validation Study Using GPT-4o
Mejdeddine Al Barajraji, Sami Barrit, Nawfel Ben-Hamouda, Ethan Harel, Nathan Torcida, Beatrice Pizzarotti, Nicolas Massager, Jerome R. Lechien

TL;DR
This study tests if GPT-4o can provide accurate and clear information to relatives of patients undergoing a specific brain surgery after a stroke.
Contribution
The study evaluates GPT-4o's performance in answering medical questions from patient relatives using a specialized scoring tool.
Findings
GPT-4o showed moderate-to-high accuracy in answering questions about decompressive hemicraniectomy.
The AI scored poorly in completeness, usefulness, and sourcing of information.
Readability scores suggest the information may be difficult for general audiences to understand.
Abstract
Purpose: This study examines GPT-4o’s ability to communicate effectively with relatives of patients undergoing decompressive hemicraniectomy (DHC) after malignant middle cerebral artery infarction (MMCAI). Methods: GPT-4o was asked 25 common questions from patients’ relatives about DHC for MMCAI, twice over a 7-day interval. Responses were rated for accuracy, clarity, relevance, completeness, sourcing, and usefulness by board-certified intensivist* (one), neurologists, and neurosurgeons using the Quality Analysis of Medical AI (QAMAI) tool. Interrater reliability and stability were measured using ICC and Pearson’s correlation. Results: The total QAMAI scores were 22.32 ± 3.08 for the intensivist, 24.68 ± 2.8 for the neurologist, 23.36 ± 2.86 and 26.32 ± 2.91 for the neurosurgeons, representing moderate-to-high accuracy. The evaluators reported moderate ICC (0.631, 95% CI: 0.321–0.821).…
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Taxonomy
TopicsArtificial Intelligence in Healthcare and Education · Patient-Provider Communication in Healthcare · Dementia and Cognitive Impairment Research
