Subhi J. Al'Aref

Subhi J. Al'Aref, M.D. serves as an Assistant Professor in the Department of Internal Medicine — Division of Cardiovascular Medicine at the University of Arkansas for Medical Sciences (UAMS). He is an interventional cardiologist at the UAMS Medical Center's Heart Center in Little Rock, Arkansas, with clinical expertise in adult heart care, interventional cardiology, and 3D cardiac imaging.

His educational journey comprises a medical degree from Weill Cornell Medicine - Qatar (with Honors in Research), followed by Internal Medicine residency and Cardiovascular Medicine fellowship at New York Presbyterian Hospital/Cornell Medical College. He completed specialized training in Interventional Cardiology and a Visiting Fellowship in Cardiac Imaging at the University of Virginia.

• Medical School: Weill Cornell Medicine - Qatar (Internal Medicine)
• Residency: New York Presbyterian Hospital/Cornell Medical College (Internal Medicine)
• Fellowship: New York Presbyterian Hospital/Cornell Medical College (Cardiovascular Medicine)
• Fellowship: New York Presbyterian Hospital/Cornell Medical College (Interventional Cardiology)
• Fellowship: University of Virginia (Cardiac Imaging, Visiting)

Dr. Al'Aref's research is dedicated to translational cardiology, focusing on the integration of interventional techniques with advanced imaging and artificial intelligence. He leads an NIH-funded multi-center study on machine learning applications for cardiac resynchronization therapy and has edited two seminal textbooks: '3D Printing for Cardiovascular Applications' and 'Machine Learning in Cardiovascular Medicine', establishing him as an innovator in AI-driven cardiovascular research.

Analysis of his 2025 publications reveals a strong emphasis on computational approaches in cardiology, including AI-based clinical trial design, coronary plaque characterization via CT angiography, and pericoronary fat analysis for predicting acute coronary events. These works demonstrate his leadership in merging radiological imaging with machine learning to address critical challenges in cardiovascular diagnosis and treatment.

No specific scientific awards were detailed in the source material.

As principal investigator of an NIH-funded study, Dr. Al'Aref directs significant research efforts in machine learning for cardiac therapies. His academic role entails mentoring trainees in cardiovascular medicine, though specific advisees are not listed. He also contributes to medical education through textbook authorship and clinical teaching.

Dr. Al'Aref collaborates extensively with the UAMS Heart Center and multi-center research consortia like the ICONIC Study, working alongside interdisciplinary teams of cardiologists, imaging specialists, and data scientists to translate laboratory innovations into clinical practice.