Key result
AI enhances diagnostic accuracy, reduces risks, and optimizes interventional cardiology procedures via machine learning.
Design
Scientific review
Authors
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Should not yet change interventional cardiology practice; leaves open the need for prospective trials to confirm benefits.
AI technologies, including machine learning and deep learning, offer significant potential to improve diagnostic accuracy, risk assessment, and procedural optimization in interventional cardiology.
Kalyuta et al. (2025) studied this question. The application of AI in interventional cardiology enhances diagnostic accuracy, reduces risks, and optimizes treatment procedures, particularly through machine learning algorithms.
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