
Bridging Genomics to Cardiology Clinical Practice: Artificial Intelligence in Optimizing Polygenic Risk Scores: A Systematic Review.
AI-Optimized Polygenic Risk Scores Enhance Cardiovascular Disease Prediction: A Systematic Review of 13 Studies 📊❤️
Discover the newest research about AI innovations in 🫀 Cardiology.
AI-Optimized Polygenic Risk Scores Enhance Cardiovascular Disease Prediction: A Systematic Review of 13 Studies 📊❤️
AI in cardiovascular imaging: balancing innovation with ethical safeguards for patient safety. 🤖❤️
DarioHealth partners with GreenKey Health to improve sleep health solutions. The collaboration focuses on obstructive sleep apnea management. 💤🤝
Optimizing arrhythmia detection: 94.82% accuracy with 4 beats using 1-D CNNs in real-world ECG studies. 📊❤️
Automation and AI in echocardiography reduce scan time by 25.6% and keystrokes by 54%. Significant ergonomic benefits for sonographers! 📉🤖
Machine learning enhances CCTA in predicting major cardiovascular events, achieving AUROC up to 0.8444. 📊❤️
Atraverse Medical secures $29.4 million for growth, enhancing cardiac procedures with its Hotwire system. 💰💉
New app detects heart attacks and strokes, aiding timely medical response. Early identification can save lives. 📱❤️🧠
AI enhances cardiac MRI for ischemic cardiomyopathy, improving accuracy and prognosis. Key findings from PubMed article reviewed. 🫀📊
“OptiStack Classifier: Enhancing CVD Risk Prediction with Ensemble Feature Engineering and Machine Learning Techniques 📊❤️”