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Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease

Van Smeden, Maarten; Heinze, Georg; Van Calster, Ben; Asselbergs, Folkert W; Vardas, Panos E; Bruining, Nico; De Jaegere, Peter; ... Moons, Karel GM; + view all (2022) Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease. European Heart Journal 10.1093/eurheartj/ehac238. (In press). Green open access

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Abstract

The medical field has seen a rapid increase in the development of artificial intelligence (AI)-based prediction models. With the introduction of such AI-based prediction model tools and software in cardiovascular patient care, the cardiovascular researcher and healthcare professional are challenged to understand the opportunities as well as the limitations of the AI-based predictions. In this article, we present 12 critical questions for cardiovascular health professionals to ask when confronted with an AI-based prediction model. We aim to support medical professionals to distinguish the AI-based prediction models that can add value to patient care from the AI that does not.

Type: Article
Title: Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1093/eurheartj/ehac238
Publisher version: https://doi.org/10.1093/eurheartj/ehac238
Language: English
Additional information: Copyright © The Author(s) 2022. Published by Oxford University Press on behalf of the European Society of Cardiology. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com.
Keywords: Digital health, Artificial intelligence, Machine learning, Diagnosis, Prognosis, Prediction
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics > Clinical Epidemiology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
URI: https://discovery.ucl.ac.uk/id/eprint/10149927
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