Ethical and legal issues in artificial intelligence-based cardiology

Research output: Chapter in Book/Report/Conference proceedingChapter

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.

Original languageEnglish (US)
Title of host publicationIntelligence-Based Cardiology and Cardiac Surgery
Subtitle of host publicationArtificial Intelligence and Human Cognition in Cardiovascular Medicine
PublisherElsevier
Pages415-419
Number of pages5
ISBN (Electronic)9780323905343
ISBN (Print)9780323906296
DOIs
StatePublished - Jan 1 2023

All Science Journal Classification (ASJC) codes

  • General Agricultural and Biological Sciences
  • General Biochemistry, Genetics and Molecular Biology

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