Enhancing Precision in Detecting Severe Immune-Related Adverse Events: Comparative Analysis of Large Language Models and International Classification of Disease Codes in Patient Records

LLMs are a useful tool for the detection of irAEs, outperforming ICD codes in sensitivity and adjudication in efficiency.

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Publication Details

Journal
Journal of Clinical Oncology
Published
2024-09-03
DOI
https://doi.org/10.1200/jco.24.00326
Citations
24
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
Field-Weighted Citation Impact
9.34

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article

Enhancing Precision in Detecting Severe Immune-Related Adverse Events: Comparative Analysis of Large Language Models and International Classification of Disease Codes in Patient Records

Azin Ghamari, Julius C. Heemelaar, Benjamin D. Medoff, Ryan J. Sullivan et al.
24 citations
Journal of Clinical Oncology
Tuberculosis Research and Epidemiology
9.34
article

Enhancing Precision in Detecting Severe Immune-Related Adverse Events: Comparative Analysis of Large Language Models and International Classification of Disease Codes in Patient Records

Azin Ghamari, Julius C. Heemelaar, Benjamin D. Medoff, Ryan J. Sullivan, Virginia H. Sun, Steven Michael Blum, Hannah Gilman, Ayo Samuel Falade, Shilpa Grover, Leyre Zubiri, Molly Thomas, Kerry L. Reynolds, Michael Dougan, Jor Sam Ho, Alexandra–Chloé Villani, Meghan E. Sise, Giselle Alexandra Suero‐Abreu, Osama Abu-Shawer, Kelley Grealish, Kenneth L. Kehl, Nora Hathaway, Vineet K. Raghu, Ibrahim Hadžić, Daniel A. Zlotoff, Nicole R. LeBoeuf, Meghan J. Mooradian, Prabhsimranjot Singh, Tomas G. Neilan, Chia‐Yun Wu, Jessica Y. Wu
article en
24 citations

Abstract

LLMs are a useful tool for the detection of irAEs, outperforming ICD codes in sensitivity and adjudication in efficiency.

Journal of Clinical OncologyVol. 42(35)
Broad Institute (US), Brigham and Women's Hospital (US), Cleveland Clinic (US), Intel (United States) (US), Harvard University (US), Oregon Health & Science University (US), Leiden University Medical Center (NL), Salem Hospital (US), Maastricht University (NL), Massachusetts General Hospital (US), Far Eastern Memorial Hospital (TW), Dana-Farber Cancer Institute (US), Center for Cancer Research (US), Mass General Brigham (US)
Eli Lilly and Company, Massachusetts General Hospital, Mallinckrodt Pharmaceuticals, Foghorn Therapeutics, Genentech
Openalex Percentile: Top 1%
Tuberculosis Research and Epidemiology
9.34
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