@inbook{021cb9382d0a41feb44923c32db0bd4f,
title = "Ethical and legal issues in artificial intelligence-based cardiology",
abstract = "Artificial intelligence (AI), notably machine learning (ML), has enormous potential to revolutionize cardiovascular medicine, ranging from research & development to clinical applications to continuous remote monitoring. However, these innovations bring with them several ethical and legal issues. This chapter discusses some issues that stakeholders, especially AI developers, cardiologists, and regulators, should know about and address together—safety risks, AI/ML black boxes, and bias—as well as data access, privacy, and security.",
keywords = "Artificial intelligence, Black boxes, Cardiology, Ethics, Law, Machine learning, Privacy, Safety, Security",
author = "Sara Gerke",
note = "Publisher Copyright: {\textcopyright} 2024 Elsevier Inc. All rights reserved.",
year = "2023",
doi = "10.1016/B978-0-323-90534-3.00034-2",
language = "English (US)",
isbn = "9780323906296",
series = "Intelligence-Based Medicine",
publisher = "Academic Press",
pages = "415--419",
editor = "Chang, {Anthony C} and Alfonso Limon",
booktitle = "Intelligence-Based Cardiology and Cardiac Surgery",
address = "United States",
}