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该研究利用可穿戴设备长期捕捉的生理数据,分析心源性猝死前的纵向生理变化模式,为早期预警和风险预测提供了新证据。
Biograph announced the first U.S. study using Caristo Diagnostics' AI-powered CaRi-Heart technology, finding that 42.9% of asymptomatic, low-risk adults had coronary inflammation — often undetectable by standard blood tests, cholesterol markers, or traditional cardiovascular risk scores.
This paper proposes a method for curating a Cardiology Interface Terminology (CIT) to highlight details in electronic health record notes using a machine learning technique. The approach involves three phases, including deriving training data and training an ML model to identify candidate concepts, achieving high completeness and coverage on test data.