Abstract
As artificial intelligence (AI) advances, and the domain of clinical medicine becomes more subspecialized, the knowledge gulf between the two grows. Cardiology is a prime example of a highly subspecialized medical field that stands to benefit substantially from AI. By updating cardiology curricula to include AI components, we can equip clinicians to direct the evolution of AI-augmented cardiology.
| Original language | English |
|---|---|
| Title of host publication | Intelligence-Based Cardiology and Cardiac Surgery |
| Subtitle of host publication | Artificial Intelligence and Human Cognition in Cardiovascular Medicine |
| Editors | Anthony Chang, Alfonso Limon, Louise Y Sun, Robert Brisk, Francisco Lopez-Jimenez |
| Publisher | Elsevier |
| Chapter | 42 |
| Pages | 393-396 |
| Number of pages | 4 |
| Edition | 1st |
| ISBN (Electronic) | 9780323905343 |
| ISBN (Print) | 9780323905343 |
| DOIs | |
| Publication status | Published (in print/issue) - 29 Sept 2023 |
Bibliographical note
Publisher Copyright:© 2024 Elsevier Inc. All rights reserved.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being -
SDG 4 Quality Education
Keywords
- AI
- education
- cardiology
- Continuing medical education
- Machine learning algorithms
- Foundational digital technologies
- Knowledge gulf
- Cardiology
- Artificial intelligence
- Bottlenecks
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