Bookmark Saya

arXiv Open Access 2022

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

Marco Gerardi Katarzyna Barud Marie-Catherine Wagner Nikolaus Forgo Francesca Fallucchi +3 lainnya
Lihat Sumber

Abstrak

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.

Topik & Kata Kunci

cs.CY cs.AI cs.LG

Penulis (8)

M

Marco Gerardi

K

Katarzyna Barud

M

Marie-Catherine Wagner

N

Nikolaus Forgo

F

Francesca Fallucchi

N

Noemi Scarpato

F

Fiorella Guadagni

F

Fabio Massimo Zanzotto

Format Sitasi

APA MLA BibTeX
Gerardi, M., Barud, K., Wagner, M., Forgo, N., Fallucchi, F., Scarpato, N. et al. (2022). Active Informed Consent to Boost the Application of Machine Learning in Medicine. https://arxiv.org/abs/2210.08987

Akses Cepat

Lihat di Sumber
Informasi Jurnal
Tahun Terbit
2022
Bahasa
en
Sumber Database
arXiv
Akses
Open Access ✓