Faculty

Xiaoxi Yao, Ph.D., M.P.H.

Clinical Studies

Realtime Diagnosis from Electrocardiogram Artificial Intelligence-Guided Screening for Atrial Fibrillation with Long Follow-Up (REGAL) Rochester, Minn.
The purpose of this research is to test whether Apple Watch, used as a long-term monitoring device, can enable early detection of atrial fibrillation and promote healthy behaviors in adults.

Batch Enrollment for an Artificial Intelligence-Guided Intervention to Lower Neurologic Events in Patients With Unrecognized Atrial Fibrillation (BEAGLE) (BEAGLE) Rochester, Minn.
This is a prospective study to test a novel artificial intelligence (AI)-enabled electrocardiogram (ECG)-based screening tool for improving the diagnosis of unrecognized atrial fibrillation (AF) and stroke prevention.
Effect of Advanced Care at Home vs. Traditional Brick-and-Mortar Hospital Care in Acutely Ill Adults: A Randomized Clinical Trial (ACH) Rochester, Minn., Scottsdale/Phoenix, Ariz., Eau Claire, Wis., Jacksonville, Fla.
The purpose of this study is to compare two care delivery models that are currently being implemented in routine practice settings. The findings from this study will inform future clinical decision making, such as which patients might be more suited for which care delivery model.
Electrocardiogram Artificial Intelligence-Guided Screening for Low Ejection Fraction (EAGLE) (EAGLE) Rochester, Minn.
The purpose of this study is to prospectively evaluate a newly-developed screening tool for ALVSD.