Vijay Shah: Increasing Value of AI-Based Assessment in Cardiovascular Risk Prediction
Vijay Shah, Kinney Executive Dean of Research Carol Gatton, Professor of Medicine at Mayo Clinic, shared a post on LinkedIn:
“Including AI-derived heart fat measurement improves accuracy of cardiovascular disease risk prediction.
Francisco Lopez-Jimenez and Zahra Esmaeili applied AI to coronary artery calcium scans to measure fat surrounding the heart in data gathered from nearly 12,000 adults for approximately 16 years.
The findings show that the volume of heart fat could be used independently to predict cardiovascular events.
It significantly improved the overall accuracy of long-term risk prediction when combined with the coronary artery calcium score and the PREVENT equation, especially among patients in low-risk categories.”
Stay updated with Hemostasis Today.
-
Apr 18, 2026, 01:1679th World Health Assembly: ‘Advancing Health Equity for Bleeding Disorders’ – WFH
-
Apr 18, 2026, 00:44Join leading experts for an evening symposium at the ASPHO Conference – ISTH
-
Apr 17, 2026, 17:41José Antonio García Erce: Hematology in 48 H Day 1 What You Need to Know for Clinical Practice
-
Apr 17, 2026, 17:23Alfonso J. Tafur: Endovascular Therapy Improves Post-Thrombotic Syndrome Outcomes at 6 Months
-
Apr 17, 2026, 17:09Hayley Taylor: Whatever Your Blood Type if You Can Donate Please Do It Because You Could Help Save a Life
-
Apr 17, 2026, 16:51Ney Carter Borges: Additive Cardiovascular Risk Reduction Through Dual Targeting of Lipoprotein(a) and Interleukin-6 Signalling
-
Apr 17, 2026, 16:08David McIntosh: African Healthcare and European Partnerships in Plasma Medicine
-
Apr 17, 2026, 16:05Ana Pedrero Gil: How Are Intraoperative PRBC Transfusions Associated with Postoperative Delirium in Adults
-
Apr 17, 2026, 16:00William Aird: The Satisfaction of Recognising the Symptom Patterns in Iron Deficiency