The integration of patient-reported outcomes (PROs) in digital health (DH) trials for cardiovascular diseases (CVDs) remains unknown. We searched ClinicalTrials.gov for randomized trials that tested DH interventions in CVDs from 2004 to 2024. The…
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AI Calibration Enhances Heart Disease Detection
Groundbreaking research reveals that calibrating scores from an artificial intelligence algorithm significantly improves the identification of patients at high risk for hypertrophic cardiomyopathy (HCM). This potentially life-threatening heart condition…
Transforming cardiac care with single-lead ECG technology
Heart failure affects millions worldwide, but early detection remains challenging. A groundbreaking study published in JAMA Cardiology demonstrates how artificial intelligence can transform cardiac care using simple, single-lead…
Cardiotocography (CTG) is essential for monitoring high-risk pregnancies, yet perinatal asphyxia prediction accuracy remains limited to 50–55%. Regions of artifacts (missing valid signals)-including signal processing aberrations-possibly contribute to this limitation, highlighted by 40% of…
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Background: Utilizing digital health technologies to aid individuals in managing chronic diseases offers a promising solution to overcome health service barriers such as access and affordability. However, their effectiveness depends on adoption and sustained…
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ECG diagnostics software platform AccurKardia and cardiac medical technology company HeartBeam are joining forces to make AccurKardia’s ECG analysis software available on HeartBeam’s devices. HeartBeam’s cable-free, 12-lead ECG system captures electrical signals from the heart…
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What You Should Know:
– Researchers at Mount Sinai have enhanced an existing artificial intelligence (AI) algorithm to provide specific numeric probabilities identifying patients at risk for hypertrophic cardiomyopathy (HCM), a common inherited heart condition,…
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What You Should Know:
– Leidos is committing $10M to a five-year collaboration with the University of Pittsburgh’s Computational Pathology and AI Center of Excellence (CPACE) to accelerate the development and use of artificial intelligence…
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Technology company Leidos is pouring $10 million into a plan to use AI to detect and manage diseases.The company is working with the University of Pittsburgh’s Computational Pathology and AI Center of Excellence (CPACE)…
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Revolutionary Cedars-Sinai AI Technology
Artificial intelligence has made a breakthrough in cardiac diagnostics at the Smidt Heart Institute. Researchers have successfully trained an AI program to identify early signs of tricuspid valve disease by analyzing…
