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Erschienen in: Magnetic Resonance Materials in Physics, Biology and Medicine 2/2020

03.01.2020 | Editorial

ESMRMB Round Table report on “Can Europe Lead in Machine Learning of MRI-Data?”

verfasst von: Francesca B. Pizzini, Filippo Pesapane, Wiro Niessen, Liesbeth Geerts-Ossevoort, Nils Broeckx

Erschienen in: Magnetic Resonance Materials in Physics, Biology and Medicine | Ausgabe 2/2020

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Excerpt

Artificial intelligence (AI) is based on the possibility of collecting, analyzing and integrating multiple data and it aims to interpret complex data, potentially resolve possible apparent contradiction and to reveal solutions. Its application can improve diagnosis, prognosis, be of assistance to patients and it can impact positively on all the expressions of medical care. But the identification of medico-legal rules and regulations—that can guarantee appropriate and safe use of AI in the medical field—is required for exchanging all the information which are essential for safe progress of AI. Surely, one of the forefronts of the digital era in medicine is radiology, and in particular MRI, and the European Union (EU) can play a fundamental role in guiding ethical and legislative statements, but some premises, clarifications and distinctions must be made before proposing a future strategy. …
Metadaten
Titel
ESMRMB Round Table report on “Can Europe Lead in Machine Learning of MRI-Data?”
verfasst von
Francesca B. Pizzini
Filippo Pesapane
Wiro Niessen
Liesbeth Geerts-Ossevoort
Nils Broeckx
Publikationsdatum
03.01.2020
Verlag
Springer International Publishing
Erschienen in
Magnetic Resonance Materials in Physics, Biology and Medicine / Ausgabe 2/2020
Print ISSN: 0968-5243
Elektronische ISSN: 1352-8661
DOI
https://doi.org/10.1007/s10334-019-00821-8

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