New AI Tool Assesses Heart Attack Risks in Cancer Patients
New AI tool predicts heart attack risks in cancer patients. This advancement could improve patient care and outcomes. β€οΈπ©Ί
March 7, 2026
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Discover the newest research about AI innovations in π« Cardiology.
Bridging machine learning and clinical practice: a multicentre nomogram for 90-day graft failure risk stratification in heart transplantation.
Machine learning enhances heart transplant outcomes: 90-day graft failure risk stratification tool shows AUC 0.67 πβ€οΈ
February 3, 2026
Mini- and Micro-Invasive Approaches in Cardiac Surgery: Current Techniques, Outcomes, and Future Perspectives.
Mini- and micro-invasive cardiac surgery: reduced trauma, faster recovery, and comparable outcomes. Key advancements enhance precision and patient care. π«β¨
January 30, 2026
Leveraging explainable machine learning models to predict moderate to severe obstructive sleep apnea in heart failure with preserved ejection fraction patients: A comorbidity perspective.
Predicting OSA in HFpEF patients: RF model shows 0.974 AUC accuracy! π€π€ Key insights from PubMed study.
January 29, 2026
Biatrial cardioneuroablation guided by robotic magnetic navigation and artificial intelligence-based mapping in vagal bradyarrhythmias: A controlled observational study.
Biatrial cardioneuroablation shows promise for vagal bradyarrhythmias, improving symptoms in 12 patients over 12 months. ππ
January 25, 2026
One Patient, Two Worlds: Digital Twins for Everyday Prevention and Care.
Digital twins in healthcare: real-time patient replicas enhance early disease detection and personalized care. ππ€
January 22, 2026
Molecular mechanisms and therapeutic progress in atherosclerosis: bridging immune inflammation and precision medicine.
Molecular mechanisms in atherosclerosis reveal new therapies: immunomodulatory vaccines, RNA therapeutics, and AI integration. π©Ίππ
January 21, 2026
Bridging the gap in digital health: A framework for leveraging digital health technologies in cardiovascular diseases, hypertension, and diabetes-a narrative review.
Digital health technologies transform chronic disease management. Key pillars include AI, interoperability, and privacy solutions. ππ‘
January 2, 2026
Development of machine learning models to predict risk of hospitalisation and 90-day readmission among patients with cardiovascular risk factors using community health survey data.
Machine learning predicts hospitalizations and readmissions in cardiovascular patients with 93% accuracy. Key factors include heart disease and medication burden. πβ€οΈ
January 1, 2026
Cardiac Rehabilitation for Coronary Artery Disease: Gaps, Digital Models, and the Future of Personalized Prevention.
Cardiac rehab reduces mortality by 25% but remains underutilized. Digital models enhance access and personalization. ππ
December 31, 2025