Peer-Reviewed Publication
EClinicalMedicine2026;99104137.September 1, 2026Journal Article

Natural language processing-based model to predict radiation pneumonitis in patients with locally advanced non-small cell lung cancer undergoing chemoradiotherapy: a retrospective cohort study.

Julie R Bloom1, Nicole Tignor2, Tielman Van Vleck2, Dexter P Mendoza3, Sooyun Caroline Tavolacci4,5, Olivia Fankuchen6, Glen Chun7, Stephanie Chang4, Michael Chung8, Stephanie Tuminello9,10, Fred R Hirsch4, Abraham Chachoua6, Joshua K Sabari6, Juan Wisnivesky7,11, Ion Cotarla12, Daniel Simmons13, Kristin Hsieh1,13, Chris Tackaberry14, Kenneth E Rosenzweig1, Robert M Samstein1, Pei Wang2, Rajwanth R Veluswamy6
1Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
2Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, 1428 Madison Ave., New York, NY, USA.
3Department of Radiology, NYU Langone Health, New York, NY, USA.
4Center for Thoracic Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
5Department of Radiation Medicine, Westchester Medical Center, Valhalla, NY, USA.
6Department of Hematology and Oncology, NYU Langone Health Perlmutter Cancer Center, NYU Grossman School of Medicine, New York, NY, USA.
7Division of Pulmonary Medicine, Critical Care and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
8Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
9Institute for Translational Epidemiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
10Department of Thoracic Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
11Division of General Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
12AstraZeneca, US Medical Affairs, Gaithersburg, MD, USA.
13AstraZeneca, Oncology Outcomes Research, Gaithersburg, MD, USA.
14Clinithink, New Kings Beam House, London, London, UK.

Abstract

BACKGROUND: Radiation pneumonitis (RP) remains a significant treatment-related toxicity in patients with unresectable, locally advanced non-small cell lung cancer (NSCLC) undergoing chemoradiotherapy (CRT). Most existing predictive models rely on static baseline demographic or dosimetry variables and lack real-time clinical applicability. We developed a novel predictive framework that integrates l…

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