In the not-too-distant future, medical professionals might be able to apply AI to electrocardiogram data in order to measure a patient's overall health status.
This is according to new research published in Circulation: Arrhythmia and Electrophysiology, a journal of the American Heart Association.
AI health scans
"Being able to more accurately assess overall health status may help doctors determine which patients they should examine further to determine if there are asymptomatic or currently silent diseases that could benefit from early diagnosis and intervention."
"For people at large, an AI-enhanced electrocardiogram could better show there may be something going on such as a new health issue or comorbid condition that they were otherwise unaware of," Kapa explained.
High accuracy in determining age
The researchers discovered that their AI was able to determine the chronological age group of any patient with 72% accuracy.
"This evidence—that we might be gleaning some sort of 'physiologic age'—was certainly both surprising and exciting for its potential role in future outcomes research, and may foster a new area of science where we seek to better understand the biologic underpinnings of such a finding," Kapa said.
In the future, the researchers would like to focus their studies on the wider population, so as to determine how accurately it reads people who are also in very good health.