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

Digital Health Reviews (1841) Machine Learning (2260) Cancer Self-Management (100) Artificial Intelligence (2395) Lung Cancer (75) Reviews in AI (37) Generative Language Models Including ChatGPT (841) Responsible Health AI (90)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/74177, first published .
Large Language Models in Lung Cancer: Systematic Review

Large Language Models in Lung Cancer: Systematic Review

Large Language Models in Lung Cancer: Systematic Review

Authors of this article:

Ruikang Zhong1 Author Orcid Image ;   Siyi Chen1 Author Orcid Image ;   Zexing Li1 Author Orcid Image ;   Tangke Gao1 Author Orcid Image ;   Yisha Su1 Author Orcid Image ;   Wenzheng Zhang1 Author Orcid Image ;   Dianna Liu2 Author Orcid Image ;   Lei Gao2 Author Orcid Image ;   Kaiwen Hu2 Author Orcid Image
Article Authors Cited by (3) Tweetations (3) Metrics

Journals

  1. Rahman S, Hosain M, Fahad N, Morol M, Hossen M. Agentic artificial intelligence is the future of cancer detection and diagnosis. Array 2026;29:100676 View
  2. Chaudhuri V, Brunelli A, Tcherveniakov P, Chaudhuri N. Benchmarking Large Language Models Using a Best Evidence Topic Report in a Patient With Early Non-Small Cell Lung Cancer. Interdisciplinary CardioVascular and Thoracic Surgery 2026;41(2) View
  3. Chen J, Luo M, Chen J, Luo G, Li G, Lei C, Chen D, Yu J, Gu K. Construction and evaluation of the knowledge graph and large model question-answering system for Jin San Zhen therapy: a tool study for primary care and general practice. Frontiers in Medicine 2026;13 View