Enhancing readability and understandability of vascular surgery discharge summaries using artificial intelligence

Federico Francisco Pennetta, Ciro Ferrer, Rocco Giudice, Roberto Chiappa, Fabio Massimo Oddi, Carlo Coscarella, Vascular and Endovascular Surgery Department, University of Rome Tor Vergata, Vascular and Endovascular Surgery Unit, San Giovanni Addolorata Hospital, Vascular and Endovascular Surgery Unit, Sandro Pertini Hospital

Vascular

Published online on February 09, 2026

Abstract

Vascular, Ahead of Print.
ObjectivesThis study aimed to assess whether Large Language Models (LLMs), like ChatGPT-4, could simplify discharge summaries for vascular surgery patients while maintaining accuracy and completeness, ultimately improving patient comprehension and ...