Kaiser Permanente and University of Michigan receive $10.5 million to advance AI tools for cardiovascular disease screening and emergency response.
Key Details
- 1American Heart Association awarded $10.5M to two research teams for AI projects in cardiovascular care.
- 2Kaiser Permanente's project will use AI to detect kidney and liver disease on echocardiograms and conduct a multi-center clinical trial.
- 3University of Michigan's project will develop AI-guided wearable sensors for improved CPR outcomes.
- 4Cardiovascular disease caused 19.41 million global deaths in 2021; over 400,000 cardiac arrest deaths occur yearly in the U.S.
- 5AI aims to improve health professional decision making and treatment effectiveness for leading causes of death.
Why It Matters
These grants support pioneering research integrating AI with medical imaging and sensing to enable earlier disease detection and more personalized emergency care. The projects have potential to transform outcomes for cardiovascular, kidney, and liver conditions, which together cause millions of deaths globally.
Source
EurekAlert
Related News
•EurekAlert
UVA's $4M NIH Grant Backs AI to Optimize Cardiac MRI Therapies
UVA secures $4 million NIH funding to develop GenStrain, an AI model using MRI data to personalize cardiac pacing therapies.
•EurekAlert
Machine Learning Models Predict Cancer Risk with Routine Health Data
Researchers developed machine learning models using routinely collected health data to predict individual risk for 20 common cancers, outperforming traditional methods for several cancer types.
•EurekAlert
Duke Receives $25M to Lead National Trustworthy AI Hub for Dementia and Aging
Duke University has launched a $25 million national center to make AI for aging and dementia clinically robust and trustworthy.