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Machine learning based insights into cardiomyopathy and heart failure research: a bibliometric analysis from 2005 to 2024
2
Zitationen
8
Autoren
2025
Jahr
Abstract
This analysis highlights the dynamic evolution of cardiomyopathy research, emphasizing the critical role of ML and AI in advancing diagnostics and therapeutic strategies. Future research should address challenges in scalability, data standardization, and ethical considerations to ensure equitable access and implementation of these technologies, particularly in underrepresented regions.
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