Analysis of Large Language Model Decision Making in Hormone Receptor–Positive/Human Epidermal Growth Factor Receptor 2–Negative Early Breast Cancer

R. Buonaiuto; Aldo Caltavituro; Rossana Di Rienzo; Angela Grieco; Federica P. Mangiacotti; Alessandra Longobardi; V. Cantile; Valeria Molinaro; Martina Pagliuca; Giuseppe Buono; Pietro De Placido; Erica Pietroluongo; Valeria Forestieri; Claudia Martinelli; V. Di Lauro; Luigi Leo; Massimiliano D'Aiuto; Giampaolo Bianchini; Carmen Criscitiello; R. Bianco; Lucia Del Mastro; Michelino De Laurentiis; Grazia Arpino; Carmine De Angelis; Michela Giuliano

doi:10.1200/cci-25-00230

Key Points

To evaluate the decision-making capabilities of a large language model in early breast cancer treatment recommendations.
Compared GPT-4o recommendations with clinician opinions pretest and post-test.
Assessed the accuracy of multigene testing recommendations.
Analyzed the agreement levels between clinicians and the model.
Modest pretest agreement between clinicians and GPT-4o.
Post-test agreement significantly improved.
Highlights the potential role of AI in enhancing clinical decision-making.

Implication

Analysis shows improved agreement in pretest recommendations for early breast cancer, indicating potential in clinical settings.

Abstract

The agreement between clinicians and GPT-4o in pretest recommendations was modest but improved post-test, highlighting the importance of multigene testing and the potential of large language models in clinical decision making.

Discussion

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Cite This Study

Buonaiuto et al. (2026) studied this question.

synapsesocial.com/papers/69ada885bc08abd80d5bb7da https://doi.org/10.1200/cci-25-00230

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Analysis of Large Language Model Decision Making in Hormone Receptor–Positive/Human Epidermal Growth Factor Receptor 2–Negative Early Breast Cancer

Key Points

Implication

Abstract

Discussion

Cite This Study

Analysis of Large Language Model Decision Making in Hormone Receptor–Positive/Human Epidermal Growth Factor Receptor 2–Negative Early Breast Cancer

Key Points

Implication

Abstract

Discussion

Cite This Study

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