Is machine learning-based assessment of tumor-infiltrating lymphocytes on standard histologic images associated with outcomes of immunotherapy in patients with NSCLC?
- PMID: 37324072
- PMCID: PMC10267919
- DOI: 10.21037/jtd-22-1862
Is machine learning-based assessment of tumor-infiltrating lymphocytes on standard histologic images associated with outcomes of immunotherapy in patients with NSCLC?
Keywords: Artificial intelligence; digital pathology; immune checkpoint inhibitor (ICI); non-small cell lung cancer (NSCLC); tumor microenvironment.
Conflict of interest statement
Conflicts of Interest: Both authors have completed the ICMJE uniform disclosure form (available at https://jtd.amegroups.com/article/view/10.21037/jtd-22-1862/coif). KI serves as an unpaid editorial board member of Journal of Thoracic Disease from February 2023 to January 2025. The other author has no conflicts of interest to declare.
Comment on
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Association of Machine Learning-Based Assessment of Tumor-Infiltrating Lymphocytes on Standard Histologic Images With Outcomes of Immunotherapy in Patients With NSCLC.JAMA Oncol. 2023 Jan 1;9(1):51-60. doi: 10.1001/jamaoncol.2022.4933. JAMA Oncol. 2023. PMID: 36394839 Free PMC article.
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