AI Article Synopsis
- The review focuses on the significant role of AI in cardiology, particularly its advances and real-world use.
- It examines the issue of data bias that can affect the reliability and broader implementation of AI tools in heart health.
- A case study is presented to illustrate the complexities of tackling these biases, with the aim of helping researchers and clinicians create fair and effective AI solutions for diverse patient populations.
Article Abstract
In the dynamic field of medical artificial intelligence (AI), cardiology stands out as a key area for its technological advancements and clinical application. In this review we explore the complex issue of data bias, specifically addressing those encountered during the development and implementation of AI tools in cardiology. We dissect the origins and effects of these biases, which challenge their reliability and widespread applicability in health care. Using a case study, we highlight the complexities involved in addressing these biases from a clinical viewpoint. The goal of this review is to equip researchers and clinicians with the practical knowledge needed to identify, understand, and mitigate these biases, advocating for the creation of AI solutions that are not just technologically sound, but also fair and effective for all patients.
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| http://dx.doi.org/10.1016/j.cjca.2024.04.026 | DOI Listing |
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