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

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

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 remai...

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Bibliographic Details
Main Authors: Rosy Tsopra, Xose Fernandez, Claudio Luchinat, Lilia Alberghina, Hans Lehrach, Marco Vanoni, Felix Dreher, O.Ugur Sezerman, Marc Cuggia, Marie de Tayrac, Edvins Miklasevics, Lucian Mihai Itu, Marius Geanta, Lesley Ogilvie, Florence Godey, Cristian Nicolae Boldisor, Boris Campillo-Gimenez, Cosmina Cioroboiu, Costin Florian Ciusdel, Simona Coman, Oliver Hijano Cubelos, Alina Itu, Bodo Lange, Matthieu Le Gallo, Alexandra Lespagnol, Giancarlo Mauri, H.Okan Soykam, Bastien Rance, Paola Turano, Leonardo Tenori, Alessia Vignoli, Christoph Wierling, Nora Benhabiles, Anita Burgun
Format: Article
Language:English
Published: BMC 2021-10-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Artificial intelligence
Precision medicine
Personalized medicine
Computerized decision support systems
Cancer
Oncology
Online Access:https://doi.org/10.1186/s12911-021-01634-3

Internet

https://doi.org/10.1186/s12911-021-01634-3

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