CALM-RAD: Calibrated GPT-4o Confidence-Based Triage Enables 96–100% Accuracy in Automated TNM Staging of Head and Neck Cancer Reports

Amit Gupta, Lisa C. Adams, Krithika Rangarajan

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DOI: 10.1007/s10278-026-01904-4
Published: 2026-03-12
Container: Journal of Imaging Informatics in Medicine
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s10278-026-01904-4,
  title = {CALM-RAD: Calibrated GPT-4o Confidence-Based Triage Enables 96–100\% Accuracy in Automated TNM Staging of Head and Neck Cancer Reports},
  author = {Amit Gupta and Lisa C. Adams and Krithika Rangarajan},
  year = {2026},
  journal = {Journal of Imaging Informatics in Medicine},
  doi = {10.1007/s10278-026-01904-4},
  url = {https://doi.org/10.1007/s10278-026-01904-4}
}

RIS

TY  - JOUR
TI  - CALM-RAD: Calibrated GPT-4o Confidence-Based Triage Enables 96–100% Accuracy in Automated TNM Staging of Head and Neck Cancer Reports
AU  - Amit Gupta
AU  - Lisa C. Adams
AU  - Krithika Rangarajan
PY  - 2026
JO  - Journal of Imaging Informatics in Medicine
DO  - 10.1007/s10278-026-01904-4
UR  - https://doi.org/10.1007/s10278-026-01904-4
ER  -

APA

Gupta, A., Adams, L. C., & Rangarajan, K. (2026). CALM-RAD: Calibrated GPT-4o Confidence-Based Triage Enables 96–100% Accuracy in Automated TNM Staging of Head and Neck Cancer Reports. Journal of Imaging Informatics in Medicine. https://doi.org/10.1007/s10278-026-01904-4

Source records

crossref · retrieved 2026-09-26T08:43:50.333Z