Evaluating Large Language Model (LLM) Performance on Established Breast Classification Systems.

Haider SA, Pressman SM, Borna S, Gomez-Cabello CA, Sehgal A, Leibovich BC, Forte AJ

DOI: 10.3390/diagnostics14141491
Published: 2024 Jul 11
Container: Diagnostics (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/diagnostics14141491,
  title = {Evaluating Large Language Model (LLM) Performance on Established Breast Classification Systems.},
  author = {Haider SA and Pressman SM and Borna S and Gomez-Cabello CA and Sehgal A and Leibovich BC and Forte AJ},
  year = {2024},
  journal = {Diagnostics (Basel, Switzerland)},
  doi = {10.3390/diagnostics14141491},
  url = {https://doi.org/10.3390/diagnostics14141491}
}

RIS

TY  - JOUR
TI  - Evaluating Large Language Model (LLM) Performance on Established Breast Classification Systems.
AU  - Haider SA
AU  - Pressman SM
AU  - Borna S
AU  - Gomez-Cabello CA
AU  - Sehgal A
AU  - Leibovich BC
AU  - Forte AJ
PY  - 2024
JO  - Diagnostics (Basel, Switzerland)
DO  - 10.3390/diagnostics14141491
UR  - https://doi.org/10.3390/diagnostics14141491
ER  -

APA

SA, H., SM, P., S, B., CA, G., A, S., BC, L., & AJ, F. (2024). Evaluating Large Language Model (LLM) Performance on Established Breast Classification Systems.. Diagnostics (Basel, Switzerland). https://doi.org/10.3390/diagnostics14141491

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pubmed · retrieved 2026-11-10T06:53:22.650Z