Lung cancer screening and real-world data

Natural-language processing pipelines that extract granular smoking history from clinical narratives to power lung cancer screening eligibility determination at scale.

Named programs

SHAPES (Smoking History and Pack-Year Extraction System)
SmokeBERT - clinical narrative to structured smoking data (JCO CCI, 2025)
Lung cancer screening implementation research at Vanderbilt-Ingram

Peer-reviewed publications (12)

Heng Tan, Travis J. Osterman. SmokeBERT and Beyond: Bridging Clinical Narratives and Structured Smoking Data To Improve Lung Cancer Screening. JCO clinical cancer informatics Dec 22, 2025
Shelby A. Crants et al. Clonal Hematopoiesis of Indeterminate Potential After Radiation Therapy. International Journal of Radiation Oncology*Biology*Physics Oct 24, 2025
Kai Zhang, Tongtong Huang, Bradley A. Malin, Travis Osterman, Qi Long, Xiaoqian Jiang. Introducing mCODEGPT as a zero-shot information extraction from clinical free text data tool for cancer research. Communications Medicine Oct 15, 2025
Irbaz Bin Riaz, Muhammad Ali Khan, Travis J. Osterman. Artificial intelligence across the cancer care continuum. Cancer Aug 15, 2025
Yanwei Li et al. Minimal Common Oncology Data Elements Genomics Pilot Project: Enhancing Oncology Research Through Electronic Health Record Interoperability at Vanderbilt University Medical Center. JCO Clinical Cancer Informatics Jun 28, 2024
Levente Lippenszky et al. Prediction of Effectiveness and Toxicities of Immune Checkpoint Inhibitors Using Real-World Patient Data. JCO Clinical Cancer Informatics Mar 21, 2024
Rachel S. Goodman et al. Accuracy and Reliability of Chatbot Responses to Physician Questions. JAMA Network Open Oct 2, 2023
Eric M. Lander et al. Identification and Characterization of Avoidable Hospital Admissions in Patients With Lung Cancer. Journal of the National Comprehensive Cancer Network Oct 1, 2023
Protiva Rahman et al. Accelerated curation of checkpoint inhibitor-induced colitis cases from electronic health records. JAMIA Open Apr 1, 2023
Rachel S. Goodman, J. Randall Patrinely, Travis Osterman, Lee Wheless, Douglas B. Johnson. On the cusp: Considering the impact of artificial intelligence language models in healthcare. Med (New York, N.Y.) Mar 10, 2023
Douglas Johnson et al. Assessing the Accuracy and Reliability of AI-Generated Medical Responses: An Evaluation of the Chat-GPT Model (under review). Feb 28, 2023
Chloe Weidenbaum, Christopher G. Cann, Sarah Osmundson, Wade T. Iams, Travis Osterman. Two Uncomplicated Pregnancies on Alectinib in a Woman With Metastatic ALK-Rearranged NSCLC: A Case Report. JTO Clinical and Research Reports Jun 18, 2022

Selected talks (7)

Tennessee Oncology Data Analysts Association (Nashville, TN): "Advancing Lung Cancer Treatment in the Era of Precision Oncology". Oct 7, 2022
44. DBMI Research Forum (Nashville, TN): "EHR-Wide GxE Study Using Smoking Information Extracted From Clinical Notes". May 16, 2016
46. University of California San Diego, Division of Biomedical Informatics (San Diego, CA): "Extracting and Studying Granular Smoking History from the Electronic Health Record". Mar 8, 2016
AMIA Joint Summit: "Extracting Tobacco Exposure with the Smoking History and Pack-Year Extraction System (SHAPES)". Mar 13, 2018
Conquer Cancer Foundation Scientific and Career Development Retreat (Washington, DC): "Smoking History and Pack Year Extraction System (SHAPES): Supporting Lung Cancer Screening and Tobacco-related Research". Oct 11, 2017
28. NLM Informatics Training Conference (Columbus, OH): "EHR-Wide GxE Study using Smoking Information Extracted from Clinical Notes,”". Jun 29, 2016
AMIA Annual Symposium (San Francisco, CA): "Quantifying Tobacco Exposure Using Clinical Notes and Natural Language Processing to Enable Lung Cancer Screening". Nov 18, 2015

Abstracts (8)

Joseph Vento, Lisa Bastarache, Qingxia M. Chen, Travis Osterman. Real-world side effects of targeted therapies: High-throughput association studies leveraging the CancerLinq Discovery lung cancer database.. Journal of Clinical Oncology May 28, 2025
David Smith et al. 1246 Prediction of pneumonitis in immunotherapy patients from prior thorax CT. Journal for ImmunoTherapy of Cancer Nov 1, 2024
Zoltan Kiss et al. 1294 External validation of machine learning models to predict efficacy and toxicity of immune checkpoint inhibitors using real-world pan cancer cohorts. Journal for ImmunoTherapy of Cancer Nov 1, 2023
Levente Lippenszky et al. 1300 Prediction of efficacy and toxicities of immune checkpoint inhibitors using real-world patient data. Journal for ImmunoTherapy of Cancer Nov 1, 2023
Eszter Csernai et al. Rolling window-based hepatitis toxicity prediction from routine bloodwork in patients undergoing immune checkpoint inhibitor therapy.. Journal of Clinical Oncology Jun 2022
Gergely Horváth et al. Predicting immune checkpoint inhibitor-related hepatitis using electronic health records of patients.. Journal of Clinical Oncology Jun 2022
Levente Lippenszky et al. Predicting immune checkpoint inhibitor-related pneumonitis using patient medical information.. Journal of Clinical Oncology Jun 2022
Eric Michael Lander et al. Characterization of avoidable hospital admissions in patients with lung cancer in the immunotherapy and targeted therapy era.. Journal of Clinical Oncology Jun 2022

In the news (2)

Targeted cancer drug during pregnancy · Vanderbilt University. Aug 2, 2022
Microsoft Investigator Fellow Dr. Travis Osterman uses Azure to support lung cancer treatment protocols · Microsoft Customers Stories. Jul 23, 2021