Predicthor: AI-Powered Predictive Risk Model for 30-Day Mortality and 30-Day Complications in Patients Undergoing Thoracic Surgery for Lung Cancer

Predicthor: AI-Powered Predictive Risk Model for 30-Day Mortality and 30-Day Complications in Patients Undergoing Thoracic Surgery for Lung Cancer

Objective:. To assess the predictive performance of Predicthor, an artificial intelligence model, for 30-day mortality and complications following major pulmonary resections. Background:. The significance of predicting postoperative complications in thoracic surgery lies in the impact on patient out...

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Bibliographic Details
Main Authors: Xavier Durand, Msc, Julien Hédou, Msc, Grégoire Bellan, Msc, Pascal-Alexandre Thomas, MD, PhD, Pierre-Benoît Pages, PhD, Xavier-Benoît D’Journo, PhD, Laurent Brouchet, PhD, Caroline Rivera, MD, Pierre-Emmanuel Falcoz, PhD, André Gillibert, MD, PhD, Jean-Marc Baste, MD, PhD
Format: Article
Language:English
Published: Wolters Kluwer Health 2025-06-01
Series:Annals of Surgery Open
Online Access:http://journals.lww.com/10.1097/AS9.0000000000000578
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