Recent News

Dr. Arnaout Interview

Dr. Arnaout interviewed on the JAMA Medical News Podcast

Can AI enhance the speed and efficiency of interpreting ultrasounds and echocardiograms, thereby minimizing diagnostic errors? In this Q&A, Rima Arnaout, MD, a cardiologist and associate professor of medicine at the University of California-San Francisco, joins JAMA's Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, to discuss the transformative impact of AI on cardiac imaging.

Listen to the episode below or at this link.

Subscribe to the JAMA podcast network here!

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Dr. Arnaout joins Women in AI Panel to Celebrate International Women's Day

Dr. Arnaout joined the Women in AI Panel to celebrate International Women's Day.

In honor of International Women's Day, WIT@UCSF brought together a panel of some of the increcible women who are leading the charge on the cutting edge of healthcare technology. The panel covered topics like using AI to improve health outcomes and healthcare quality, research on AI for improving access to abortion care, and much more.

See the event details here!

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Dr. Arnaout at Cambridge MedTech Foundation

Dr. Arnaout speaks at Cambridge MedTech Foundation Event.

With AI excitement building and the future of medical practice and research seeming uncertain, the Cambridge MedTech Foundation gathered a panel of AI pioneers for an online interactive discussion to hear their insights.

Watch the speech here!

Visit the Cambridge MedTech Foundation here!

 

 

Past News

AI in Health Care: The Promise (Part 1 of 3)

News: Dr Arnaout co-chairs NIH workshop on AI in Cardiovascular Imaging

Dr. Arnaout joins the UCSF UC Berkeley Joint Program in Computational Precision Health

Dr. Arnaout gives a talk for the UCSF DOM Grand Rounds on "AI for Computational Imaging in Medicine: Promise, Pitfalls, and What's Next" 

Dr. Arnaout recognized as one of the National Academy of Medicine’s 'Emerging Leaders in Health and Medicine'

Arnaout Lab wins grant from Gordon and Betty Moore Foundation to study content and quality of imaging data

Taking machine learning to heart — Science

Deep learning for detecting congenital heart disease in the fetus — Nature Medicine News & Views

Facebook's Mark Zuckerberg highlights Arnaoutlab research

UCSF improves fetal heart defect detection using machine learning — Eurekalert

Can AI help detect congenital heart disease on fetal ultrasound? — AuntMinnie

Arnaout Lab wins MIT Research Slam, supporting COVID-19 research

The BBC interviews Dr. Arnaout on deep learning in medicine

UCSF Launches Artificial Intelligence Center to Advance Medical Imaging

Arnaout Lab wins Department of Defense Medical Research Grant to Use Machine Learning for Mobile Diagnosis

Detecting Heart Defects Without Skipping a Beat — NVIDIA GTC

Image-based phenotyping for clinical research — Biocentury Innovations

Toward a clearer picture of health — Nature Medicine

Dr. Arnaout Wins American Heart Association Precision Medicine Competition

How is New Technology like AI Impacting Clinical Care? — ECHO Magazine

Arnaout Lab Part of Tri-Institutional Team Winning a $2M Chan Zuckerberg Biohub Award

Making Medical AI Trustworthy and Transparent — IEEE Spectrum

Arnaout Lab Wins UCSF Catalyst Award

Artificial Intelligence Is Becoming Natural — Cell

View classification for echocardiograms on CNET

AI Cardiologist Aces Its First Medical Exam — IEEE Spectrum

MedPage Today interviews Rima Arnaout about how AI will change medicine

Arnaout lab abstract named one of AHA 2017's 'Best Abstracts in Health Tech

New data grants awarded to clinical and population researchers, computer engineers and computational biologists

Rima Arnaout joins the Cardiology faculty at UCSF