“These findings support AI-ECG as a practical, scalable screening tool that can effectively identify individuals at risk for heart failure in resource-limited settings where access to echocardiography is constrained, addressing a critical gap in global cardiovascular care,” said Ambarish Pandey, M.D., Associate Professor of Internal Medicine in the Division of Cardiology and in the Peter O’Donnell Jr. School of Public Health at UT Southwestern. He has a secondary appointment in Internal Medicine’s Division of Geriatric Medicine.

In addition to Dr. Pandey, the study’s primary lead author, other investigators included Neil Keshvani, M.D., Adjunct Assistant Professor of Internal Medicine at UT Southwestern, and Bernard Samia, M.B.Ch.B., M.Med., M.P.H., consultant physician and cardiologist at M.P. Shah Hospital in Kenya and President of the Kenya Cardiac Society.