Artificial intelligence-assisted risk prediction of postoperative pulmonary complications in non-small cell lung cancer surgery

Abstract Background Pulmonary complications are the most frequent adverse events following surgery for non-small cell lung cancer (NSCLC), influencing both short-term clinical outcomes and long-term prognosis. This study aimed to develop and evaluate artificial intelligence (AI) models to predict po...

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Principais autores:	Gizem Özçıbık Işık, Onur Sefa Özçıbık, Tülay Yıldırım, Burcu Kılıç, Ezel Erşen, Mehmet Kamil Kaynak, Akif Turna, Hasan Volkan Kara
Format:	Artigo
Jezik:	Inglês
Izdano:	BMC 2026-04-01
Serija:	Journal of Cardiothoracic Surgery
Teme:	Artificial Intelligence Deep Learning Postoperative Pulmonary Complication Non-Small Cell Lung Cancer
Online dostop:	https://doi.org/10.1186/s13019-026-04249-9
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