Health AI Central
Peer-Reviewed Publication
J Immunother Cancer2026;14(9)September 18, 2026Journal Article

CT-based deep foundation model for predicting immune checkpoint inhibitor-induced pneumonitis risk in lung cancer.

Amgad Muneer1, Eman Showkatian1, Yuliya Kitsel1,2, Maliazurina B Saad1, Sheeba J Sujit1, Felipe Soto3, Girish S Shroff4, Saadia A Faiz3, Mohammad I Ghanbar5, Sherif M Ismail6, Natalie I Vokes2, Tina Cascone2, Xiuning Le2, Jianjun Zhang2, Lauren A Byers2, David Jaffray6,7, Joe Y Chang8, Zhongxing Liao8, Aung Naing9, Don L Gibbons2, Ara A Vaporciyan10, John V Heymach2, Karthik Suresh5, Mehmet Altan2, Ajay Sheshadri3, Jia Wu11,2,6
1Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
2Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
3Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
4Department of Thoracic Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
5Department of Pulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
6Institute for Data Science in Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
7Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
8Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
9Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
10Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
11Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA JWu11@mdanderson.org.
PubMed DOI

Abstract

BACKGROUND: Immune checkpoint inhibitors (ICIs) have revolutionized cancer therapy, but can cause serious immune-related adverse events, with pneumonitis (ICI-P) being among the most severe. Early identification of high-risk patients before ICI initiation is critical for close monitoring, timely intervention, and optimizing outcomes. PURPOSE: To develop and validate a deep learning foundation mod…

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