Quality standards for artificial intelligence-based studies and clinical trials
Author:
Affiliation:
1. Department of Cardiovascular Medicine, Fondazione Policlinico Universitario A. Gemelli IRCCS , Rome , Italy
2. Department of Cardiovascular and Pulmonary Sciences, Catholic University of the Sacred Heart , Rome , Italy
Publisher
Oxford University Press (OUP)
Subject
Cardiology and Cardiovascular Medicine
Link
https://academic.oup.com/eurheartj/article-pdf/44/46/4815/54041783/ehad784.pdf
Reference27 articles.
1. Five critical quality criteria for artificial intelligence-based prediction models;van Royen;Eur Heart J,2023
2. Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease;van Smeden;Eur Heart J,2022
3. Three-dimensional printing, holograms, computational modelling, and artificial intelligence for adult congenital heart disease care: an exciting future;Chessa;Eur Heart J,2022
4. Management of arrhythmias: the increasing role of artificial intelligence, genetics and cardiac resyncronization;Crea;Eur Heart J,2021
5. Artificial intelligence in cardiovascular imaging—principles, expectations, and limitations;Antoniades;Eur Heart J,2021
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