Rima Arnaout

Dr. Rima Arnaout is an Assistant Professor in Medicine (Cardiology) at the University of California, San Francisco (UCSF), affiliated with the School of Medicine. She is a physician-scientist specializing in genetics, clinical research, and computational methods for cardiovascular imaging. Her work focuses on precision phenotyping in echocardiography and applying AI to transform imaging into a big-data tool.

Education:

• BS in Biology & Bioengineering, MIT
• MD, Harvard Medical School
• Internal Medicine Residency, Massachusetts General Hospital
• Cardiology Fellowship, UCSF
• 2021 Diversity, Equity, and Inclusion Champion Training

Research Interests: Dr. Arnaout's research integrates AI and machine learning with cardiovascular imaging, particularly echocardiography, to improve diagnostic accuracy and phenotyping. Key areas include congenital heart disease detection, myocardial texture analysis, and leveraging AI for clinical decision support. Her work spans genetics, epistatic interactions in cardiovascular traits, and translational imaging informatics.

Articles Trends: Her recent publications emphasize AI-driven advancements in echocardiography, including segmentation algorithms, ontology-guided machine learning, and generative AI frameworks. She also addresses clinical challenges like prenatal congenital heart disease detection and cardiac amyloidosis diagnosis.

Awards:

• 2024 UCSF Chen Scholar
• 2023 Fellow, American Institute for Biological and Medical Engineering
• 2022 Emerging Leader in Health & Medicine (National Academy of Medicine)
• Multiple NIH and cardiovascular research foundation awards

Grants & Advising: Principal Investigator on NIH-funded projects (e.g., R01HL150394), Department of Defense grants, and AHA initiatives. Her labs collaborate widely in AI/healthcare innovation. No formal advisee list is provided.

Labs/Teams: Leads the Arnaout Lab @UCSF, part of the Bakar Computational Health Sciences Institute and Center for Intelligent Imaging. Collaborates with the Biological and Medical Informatics program.