Active Informed Consent to Boost the Application of Machine Learning in Medicine

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Detalles Bibliográficos
Publicado en:	arXiv.org (Sep 27, 2022), p. n/a
Autor principal:	Gerardi, Marco
Otros Autores:	Barud, Katarzyna, Wagner, Marie-Catherine, Forgo, Nikolaus, Fallucchi, Francesca, Scarpato, Noemi, Guadagni, Fiorella, Zanzotto, Fabio Massimo
Publicado:	Cornell University Library, arXiv.org
Materias:	Machine learning Informed consent
Acceso en línea:	Citation/Abstract Full text outside of ProQuest
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Descripción
Resumen:	Machine Learning may push research in precision medicine to unprecedented heights. To succeed, machine learning needs a large amount of data, often including personal data. Therefore, machine learning applied to precision medicine is on a cliff edge: if it does not learn to fly, it will deeply fall down. In this paper, we present Active Informed Consent (AIC) as a novel hybrid legal-technological tool to foster the gathering of a large amount of data for machine learning. We carefully analyzed the compliance of this technological tool to the legal intricacies protecting the privacy of European Citizens.
ISSN:	2331-8422
Fuente:	Engineering Database