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, J W
van Leeuwen, K
Hofstra, L
Rienstra, M
Appelman, Y
Nijhof, W
Verlaat, B
Everts, I
den Ruijter, H M
Isgum, I
Leiner, T
Vliegenthart, R
Asselbergs, F W
Juarez-Orozco, L E
van der Harst, P |
Dokumenttyp: |
Artikel |
Erscheinungsdatum: |
2019 |
Reihe/Periodikum: |
Benjamins , J W , van Leeuwen , K , Hofstra , L , Rienstra , M , Appelman , Y , Nijhof , W , Verlaat , B , Everts , I , den Ruijter , H M , Isgum , I , Leiner , T , Vliegenthart , R , Asselbergs , F W , Juarez-Orozco , L E & van der Harst , P 2019 , ' Enhancing cardiovascular artificial intelligence (AI) research in the Netherlands : CVON-AI consortium ' , Netherlands Heart Hournal , vol. 27 , no. 9 , pp. 414-425 . https://doi.org/10.1007/s12471-019-1281-y |
Schlagwörter: |
Machine learning
/ Artificial intelligence
/ Cardiovascular disease
/ CVON-AI consortium |
Sprache: |
Englisch |
Permalink: |
https://search.fid-benelux.de/Record/base-28779042 |
Datenquelle: |
BASE;
Originalkatalog |
Powered By: |
BASE |
Link(s) :
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https://hdl.handle.net/11370/75fce174-5a65-4748-8b23-732bf351bf62 |