A preliminary investigation into the potential, pitfalls, and limitations of large language models for mammography interpretation

Abstract This study evaluates the capabilities of large language models, specifically GPT-4, in interpreting mammographic images. The analysis involved 120 mammographic images equally divided between cases with and without mammography’s findings. Without additional context, the LLM was tasked to gen...

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Autors principals:	Filippo Pesapane, Luca Nicosia, Anna Rotili, Silvia Penco, Valeria Dominelli, Chiara Trentin, Federica Ferrari, Giulia Signorelli, Serena Carriero, Enrico Cassano
Format:	Artigo
Idioma:	Inglês
Publicat:	Springer 2025-02-01
Col·lecció:	Discover Oncology
Accés en línia:	https://doi.org/10.1007/s12672-025-02005-4
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