Enhancing cardiovascular artificial intelligence (AI) research in the Netherlands: CVON-AI consortium

Background Machine learning (ML) allows the exploration and progressive improvement of very complex high-dimensional data patterns that can be utilised to optimise specific classification and prediction tasks, outperforming traditional statistical approaches. An enormous acceleration of ready-to-use tools and artificial intelligence (AI) applications, shaped by the emergence, refinement, and application of powerful ML algorithms in several areas of knowledge, is ongoing. Although such progress has begun to permeate the medical sciences and clinical medicine, implementation in cardiovascular me... Mehr ...

Verfasser: Benjamins, JW
van Leeuwen, K
Hofstra, L
Rienstra, M
Appelman, Y
Nijhof, W
Verlaat, B
Everts, I
den Ruijter, HM
Isgum, I
Leiner, T
Vliegenthart, R
Asselbergs, FW
Juarez-Orozco, LE
van der Harst, P
Dokumenttyp: Artikel
Erscheinungsdatum: 2019
Schlagwörter: Machine learning / Artificial intelligence / Cardiovascular disease / CVON-AI consortium
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-26820697
Datenquelle: BASE; Originalkatalog
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Link(s) : https://discovery.ucl.ac.uk/id/eprint/10081739/1/Benjamins2019_Article_EnhancingCardiovascularArtific.pdf