The study published in Nature Medicine examined if a commercially-available fitness tracker and smartphone could continuously monitor the response to medications, and provide clinical information similar to in-person hospital assessment.
The team say this new approach could reduce the need for invasive and costly diagnostic tests while improving treatment outcomes early when interventions such as lifestyle changes or new medicines may have a chance to work best.
The teams from the Universities of East Anglia (UEA), Sheffield and Leeds created an intelligent computer model that utilises AI to examine heart images from MRI scans in a specific view known as the four-chamber plane.