Prediction of immune checkpoint inhibitor-related pneumonitis in lung cancer: development and validation of multiple machine learning models

Abstract Objectives This study aims to develop and validate combined radiomics machine learning (ML) models and clinical semantic feature models to accurately predict immune checkpoint inhibitor-related pneumonitis (CIP) risk in lung cancer patients receiving immunotherapy. Additionally, it seeks to...

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Bibliografiset tiedot

Päätekijät:	Yuxin Li, Yang Ji, Chunxiao Wang, Chunhui Qin, Kang Yu, Ling Liu, Jiahui Chen, Wei Meng, Tong Zhang
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	BMC 2026-02-01
Sarja:	BMC Cancer
Aiheet:	Lung cancer Immune checkpoint inhibitor-related pneumonitis Radiomics Machine learning
Linkit:	https://doi.org/10.1186/s12885-026-15758-0
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