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 language | English (US) |
|---|---|
| Title of host publication | Intelligence-Based Cardiology and Cardiac Surgery |
| Subtitle of host publication | Artificial Intelligence and Human Cognition in Cardiovascular Medicine |
| Publisher | Elsevier |
| Pages | 415-419 |
| Number of pages | 5 |
| ISBN (Electronic) | 9780323905343 |
| ISBN (Print) | 9780323906296 |
| DOIs | |
| State | Published - Jan 1 2023 |
All Science Journal Classification (ASJC) codes
- General Agricultural and Biological Sciences
- General Biochemistry, Genetics and Molecular Biology
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