Clinician's guide to trustworthy and responsible artificial intelligence in cardiovascular imaging

Clinician's guide to trustworthy and responsible artificial intelligence in cardiovascular imaging

A growing number of artificial intelligence (AI)-based systems are being proposed and developed in cardiology, driven by the increasing need to deal with the vast amount of clinical and imaging data with the ultimate aim of advancing patient care, diagnosis and prognostication. However, there is a c...

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Bibliographic Details
Main Authors: Liliana Szabo, Zahra Raisi-Estabragh, Ahmed Salih, Celeste McCracken, Esmeralda Ruiz Pujadas, Polyxeni Gkontra, Mate Kiss, Pal Maurovich-Horvath, Hajnalka Vago, Bela Merkely, Aaron M. Lee, Karim Lekadir, Steffen E. Petersen
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
artificial intelligence
cardiovascular imaging
machine learning (ML)
trustworthiness
AI risk
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2022.1016032/full

Internet

https://www.frontiersin.org/articles/10.3389/fcvm.2022.1016032/full

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