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Artificial intelligence in echocardiography: trends, hotspots and future directions
0
Zitationen
7
Autoren
2025
Jahr
Abstract
From 2019 to 2024, annual publications increased rapidly, reflecting accelerated advancements in AI-driven echocardiography. Key research hotspots encompass automated image analysis, diagnostic classification, prognostic prediction, and workflow optimization, with deep learning models demonstrating significant potential to reduce operator dependency and enhance diagnostic precision. Future research will prioritize three critical challenges: data standardization across heterogeneous sources, development of fully automated diagnostic pipelines, and improving the clinical reliability of AI systems.
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