Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/64364, first published .
Retrieval Augmented Therapy Suggestion for Molecular Tumor Boards: Algorithmic Development and Validation Study

Retrieval Augmented Therapy Suggestion for Molecular Tumor Boards: Algorithmic Development and Validation Study

Retrieval Augmented Therapy Suggestion for Molecular Tumor Boards: Algorithmic Development and Validation Study

Journals

  1. Chen D, Parsa R, Swanson K, Nunez J, Critch A, Bitterman D, Liu F, Raman S. Large language models in oncology: a review. BMJ Oncology 2025;4(1):e000759 View
  2. Breuer T, Frihat S, Fuhr N, Lewandowski D, Schaer P, Schenkel R. Large Language Models for Information Retrieval: Challenges and Chances. Datenbank-Spektrum 2025;25(2):71 View
  3. Capobianco I, Della Penna A, Mihaljevic A, Bitzer M, Eickhoff C, Stifini D. Clinical Accuracy and Safety Concerns Following GPT-5 Public Demonstration in Cancer Care. Journal of Medical Systems 2025;49(1) View
  4. Genovese A, Hegstrom L, Prabha S, Gomez-Cabello C, Haider S, Collaco B, Wood N, Forte A. Artificial Authority: The Promise and Perils of LLM Judges in Healthcare. Bioengineering 2026;13(1):108 View
  5. Jun H, Tanaka Y, Johri S, Camp S, Bao E, Carvalho F, Gui D, Jordan A, Labaki C, Martin S, Nagy M, O’Meara T, Pappa T, Pimenta E, Saad E, Yang D, Gillani R, Tewari A, Reardon B, Van Allen E. A context-augmented large language model for accurate precision oncology medicine recommendations. Cancer Cell 2026 View