Information Extraction and Summarization for Neurovascular Consultations with GPT-4o: A Clinical Case Study.

ABSTRACT:

Purpose

In outpatient settings, extensive patient records must frequently be reviewed under time constraints, making efficient extraction and summarization of key clinical information essential. Large language models (LLMs) are potentially useful for this task but require validation for clinical reliability. This study assesses OpenAI's GPT-4o for generating structured summaries to assist in neurovascular consultation preparation, aiming to increase efficiency by automating critical data extraction.

Methods

A prospective study was conducted from May to August 2024 at a tertiary care hospital, involving a total of 70 patients. Structured summaries were generated by GPT-4o using a predefined template. Extracted data were categorized into aneurysm-specific details, imaging summ

SUBMITTER: Indrakanti AK 

PROVIDER: S-EPMC12552373 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature