Machine learning in cardiology - will we ever be replaced by computers?
Heart Podcast
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Challenges and Advancements in AI Implementation in Cardiology
This chapter explores the obstacles encountered in incorporating AI tools in cardiology, such as regulatory hurdles, lack of trust in AI by medical professionals, and the 'black box effect' where AI-generated results lack explanations. It also discusses advancements in algorithms and software in cardiology, the potential for AI to assist radiologists rather than replace them, and the challenges of deep learning models in cardiology due to data limitations.
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