From classical approaches to artificial intelligence, old and new tools for PDAC risk stratification and prediction

Farinella, Riccardo; Felici, Alessio; Peduzzi, Giulia; Testoni, Sabrina Gloria Giulia; Costello, Eithne; Aretini, Paolo; Blazquez\\-Encinas, Ricardo; Oz, Elif; Pastore, Aldo; Tacelli, Matteo; Otlu, Burcak; Campa, Daniele; Gentiluomo, Manuel

doi:10.1016/j.semcancer.2025.03.004

From classical approaches to artificial intelligence, old and new tools for PDAC risk stratification and prediction

Date

2025

Authors

Farinella, Riccardo

Felici, Alessio

Peduzzi, Giulia

Testoni, Sabrina Gloria Giulia

Costello, Eithne

Aretini, Paolo

Blazquez\\-Encinas, Ricardo

Oz, Elif

Pastore, Aldo

Tacelli, Matteo

dc.identifier.doi

10.1016/j.semcancer.2025.03.004

dc.identifier.other

WOS:001460315500001

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ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD

DOI

10.1016/j.semcancer.2025.03.004

Keywords

Pancreatic cancer , Risk stratification , Artificial intelligence , Genetic susceptibility , Early detection

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https://openaccess.acibadem.edu.tr/handle/11443/5104

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From classical approaches to artificial intelligence, old and new tools for PDAC risk stratification and prediction

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