Valutazione dell’accuratezza di modelli linguistici di grandi dimensioni nel rispondere a domande sullo screening mammografico in italiano e inglese: uno studio basato sulle linee guida Eusobi

The study shows that LLMs are useful tools for medical communication, but they have limitations in delivering accurate answers on highly specialized medical topics. To improve the quality of information, collaboration between AI experts and healthcare professionals is necessary, especially in breast cancer prevention and screening.

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Publication Details

Journal
Recenti Progressi in Medicina
Published
2025-03-01
DOI
https://doi.org/10.1701/4460.44556
Primary Topic
Global Cancer Incidence and Screening
Type
article
Field-Weighted Citation Impact
0.00
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article

Valutazione dell’accuratezza di modelli linguistici di grandi dimensioni nel rispondere a domande sullo screening mammografico in italiano e inglese: uno studio basato sulle linee guida Eusobi

Massimo Favat, M. Signorini, Silvia Teggi, Paola Minichetti et al.
Recenti Progressi in Medicina
Global Cancer Incidence and Screening
article

Valutazione dell’accuratezza di modelli linguistici di grandi dimensioni nel rispondere a domande sullo screening mammografico in italiano e inglese: uno studio basato sulle linee guida Eusobi

Massimo Favat, M. Signorini, Silvia Teggi, Paola Minichetti, Silvia Fontani, Alessandra Barusco
article en

Abstract

The study shows that LLMs are useful tools for medical communication, but they have limitations in delivering accurate answers on highly specialized medical topics. To improve the quality of information, collaboration between AI experts and healthcare professionals is necessary, especially in breast cancer prevention and screening.

Recenti Progressi in MedicinaVol. 116(3)
University of Udine (IT), AULSS 2 Marca Trevigiana (IT)
Openalex Percentile: Top 93%
Global Cancer Incidence and Screening
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