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Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73605, first published .
Doctor and nurse reviewing patient data on computer and clipboard

Large Language Model Versus Manual Review for Clinical Data Curation in Breast Cancer: Retrospective Comparative Study

Large Language Model Versus Manual Review for Clinical Data Curation in Breast Cancer: Retrospective Comparative Study

Journals

  1. Kim H, Lee K, Song C. Perceptions and Use of Generative AI among Physical Therapists and Physical Therapy Students: A Cross-Sectional Survey Study. Physical Therapy Rehabilitation Science 2026;15(1):116 View
  2. Schwartz C, Anderson M, Moakler K, Newby B, Davenport D, Schwartz M. AI-Assisted Clinical Data Abstraction From Electronic Health Records: Retrospective Concordance Study. JMIR Formative Research 2026;10:e96755 View
  3. Pan G. Artificial intelligence for perioperative precision in surgical oncology. Frontiers in Surgery 2026;13 View
  4. Balaji S, Campbell K, Chen R, Smith D, Reyna M, Sarker A, Wallach J, Parikh R, Bozkurt S. Metastasis Extraction from NSCLC Clinical Notes: A Retrospective Comparative Evaluation of Large Language Model-Based Classification (Preprint). JMIR Cancer 2026 View
  5. Mochizuki N, Ikeda A, Ohshima H, Fukuda Y, Okuda K, Komaki R, Matsunaga T, kudo K, Goto S, Amai M, Suzuki Y. Development of a Framework for Deidentified Japanese Electronic Health Record Narratives Using BERT: Balancing Privacy Protection and Reproducible Entity Extraction in Real-World Data (Preprint). JMIR Medical Informatics 2026 View
  6. Ai Q, Kwok H, Lu M, Lau T, Hung K, Wong L, So T, King A, Leung H. Commercial large language models for oral cavity cancer staging using descriptive pre-treatment MRI reports: ready for standalone use in clinical practice?. Insights into Imaging 2026;17(1) View
  7. Henn J, Stoll A, Feodorovici P, Subramani D, Röttgen J, Arensmeyer J, Gräff I, Wulff B, Kalff J, Matthaei H. Development and validation of a pragmatic pipeline for clinical free-text annotation using locally deployed open-weight large language models. Scientific Reports 2026;16(1) View