Discover the newest research about AI innovations in π« Cardiology.
Biatrial cardioneuroablation shows promise for vagal bradyarrhythmias, improving symptoms in 12 patients over 12 months. ππ
Digital twins in healthcare: real-time patient replicas enhance early disease detection and personalized care. ππ€
Molecular mechanisms in atherosclerosis reveal new therapies: immunomodulatory vaccines, RNA therapeutics, and AI integration. π©Ίππ
Digital health technologies transform chronic disease management. Key pillars include AI, interoperability, and privacy solutions. ππ‘
Machine learning predicts hospitalizations and readmissions in cardiovascular patients with 93% accuracy. Key factors include heart disease and medication burden. πβ€οΈ
Cardiac rehab reduces mortality by 25% but remains underutilized. Digital models enhance access and personalization. ππ
New biomarkers TLR2, CCR1, IRF8, and CCL4 show promise for atherosclerosis diagnosis and treatment response. ππ
Exploring bias in LLMs for cardiovascular risk: men vs. women, Black vs. white. Strong agreement (ICC 0.949) found. πβ€οΈ
Mayo Clinic’s AI algorithm improves sleep apnea detection in women, using ECG results for faster diagnosis. π€β€οΈ
AI in ECG for Sudden Cardiac Death Prediction: Sensitivity 90%, Specificity 91% ππ
