Artificial Intelligence

UC Davis Receives Grant to Develop and Assess AI Approach for Atrial Fibrillation Risk Modeling

Atrial fibrillation, or AFib, is an irregular and often rapid heart rhythm, also known as an arrhythmia. AFib is the most common type of heart arrhythmia and predisposes patients to an increased risk of stroke. It has a significant global impact — affecting nearly 40 million individuals worldwide and over 6 million in the United States.

A Solution for AI’s Bias Problem

As artificial intelligence gains momentum, University of California researchers are identifying discrimination in the algorithms that are shaping our society, devising solutions, and helping build a future where computers do us less harm and more good.