Comparative Analysis of AI Models in Predicting Treatment Strategies for Unruptured Intracranial Aneurysms.

ABSTRACT: Objectives: The increasing incidence of unruptured intracranial aneurysms (UIAs) has led to significant demands on neurovascular boards. Large language models (LLMs), such as ChatGPT-4, ChatGPT-3.5, Claude, and Atlas GPT, have emerged as tools to support clinical decision-making. This study compares treatment recommendations from these AI models with those of an interdisciplinary neurovascular board to evaluate their accuracy and alignment. Methods: We retrospectively included all 57 patients with UIAs discussed by the neurovascular board in 2023. The board's consensus decision served as the reference standard. Key clinical and radiographic data, including PHASES, ELAPSS, and UIATS scores, were provided to the AI models. Each model was tasked with recommending either conserva

SUBMITTER: Overstijns M 

PROVIDER: S-EPMC12563265 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature