This paper is in the following e-collection/theme issue:

Reviews on Innovations in Cancer (52) Decision Support for Health Professionals (1538) Electronic Health Records (1319) Natural Language Processing (917) Artificial Intelligence (2122) Chatbots and Conversational Agents (740) Generative Language Models Including ChatGPT (707)

Published on in Vol 11 (2025)

This is a member publication of University of Toronto

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65984, first published .
Large Language Model Applications for Health Information Extraction in Oncology: Scoping Review

Large Language Model Applications for Health Information Extraction in Oncology: Scoping Review

Large Language Model Applications for Health Information Extraction in Oncology: Scoping Review

Authors of this article:

David Chen1 Author Orcid Image ;   Saif Addeen Alnassar2 Author Orcid Image ;   Kate Elizabeth Avison2 Author Orcid Image ;   Ryan S Huang1 Author Orcid Image ;   Srinivas Raman3 Author Orcid Image
Article Authors Cited by (8) Tweetations Metrics

Journals

  1. Huang R, Sood T, Nelms M, Wintraub L, Leung F. Addressing the challenges of field notes in medical education: a qualitative study of resident experiences. BMC Medical Education 2025;25(1) View
  2. Kamihara T, Omura T, Shimizu A. Potential and Limitations of Large Language Models for Medical Literature Analysis: A Preliminary Investigation. Cureus 2025 View
  3. Kuno M, Osumi H, Udagawa S, Yoshikawa K, Ooki A, Shinozaki E, Ishikawa T, Oba J, Yamaguchi K, Sakurada K. Artificial Intelligence in Clinical Oncology: From Productivity Enhancement to Creative Discovery. Current Oncology 2025;32(11):588 View
  4. Benson R, Kenny C, Ashraf Ganjouei A, Zhao M, Darawsheh R, Qian A, Hong J. Large Language Models in Population Oncology: A Contemporary Review on the Use of Large Language Models to Support Data Collection, Aggregation, and Analysis in Cancer Care and Research. JCO Clinical Cancer Informatics 2025;(9) View
  5. Abumelha M, AL-Ghamdi A, Fayoumi A, Ragab M. Medical Feature Extraction from Clinical Exam Notes: Development and Evaluation of a Two-Phase Large Language Model Framework (Preprint). JMIR Medical Informatics 2025 View
  6. Qiu Z, Jiang A, Qi C, Gan W, Zhu L, Mou W, Zeng D, Xiao M, Chu G, Peng S, Wong H, Zhang L, Zhang H, Deng X, Cheng Q, Tang B, Wang Y, Zhang J, Lin A, Luo P. Temporal evolution of large language models (LLMs) in oncology. Journal of Translational Medicine 2025;23(1) View
  7. Culhane J. Use of a Novel Natural Language Processing Utility to Extract Structured Data From Free-Text Medical Notes. Cureus 2025 View
  8. Luo I, Graber-Naidich A, Zhang M, Kaushik R, Nieda G, Chen T, Gu B, Choi E, Ding V, Gunturkun F, Satoyoshi M, Bhat A, Lee T, Su C, Ellis-Caleo T, Henry A, Desai M, Backhus L, Lui N, Leung A, Neal J, Kurian A, Langlotz C, Wakelee H, Liang S, Khan A, Han S. Leveraging large language models to extract smoking history from clinical notes for lung cancer surveillance. npj Digital Medicine 2025;8(1) View