A framework for validating AI in precision medicine: considerations from the European ITFoC consortium

Tsopra, R.; Fernández, X.; Luchinat, C.; Alberghina, L.; Lehrach, H.; Vanoni, M.; Dreher, Felix; Sezerman, O.; Cuggia, M.; de Tayrac, M.; Miklaševičs, E.; Itu, L.; Geantă, M.; M Ogilvie, Lesley; Godey, F.; Boldisor, C.; Campillo-Gimenez, B.; Cioroboiu, Cosmina; Ciușdel, C.; Coman, S.; Hijano Cubelos, Oliver; Itu, A.; Lange, B.; Le Gallo, Matthieu; Lespagnol, A.; Mauri, G.; Soykam, H.; Rance, B.; Turano, P.; Tenori, L.; Vignoli, A.; Wierling, C.; Benhabiles, N.; Burgun, A.

doi:10.1186/s12911-021-01634-3

Public

A framework for validating AI in precision medicine: considerations from the European ITFoC consortium

Shared by NobleBlocks on Oct 2, 2021 • 12:00 AM UTC

Authors:

R. Tsopra

X. Fernández

C. Luchinat

Abstract

Background Artificial intelligence (AI) has the potential to transform our healthcare systems significantly. New AI technologies based on machine learning approaches should play a key role in clinical decision-making in the future. However, their implementation in health care settings remains limite...

Subject

Medicine

Computer Science

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