Researchers have developed a groundbreaking method for analyzing heart MRI scans with the help of artificial intelligence, which could save valuable NHS time and resources, as well as improve care for patients. The teams from the Universities of East Anglia (UEA), Sheffield and Leeds created an intelligent computer model that utilizes AI to examine heart images from MRI scans in a specific view known as the four-chamber plane. Lead researcher Dr.
Pankaj Garg, of the University of East Anglia's Norwich Medical School and a consultant cardiologist at the Norfolk and Norwich University Hospital, heads up a team of researchers who have pioneered innovative and revolutionary 4D MRI imaging technology. This is paving the way for faster, non-invasive and more accurate diagnosis of heart failure and other cardiac conditions. The AI model precisely determined the size and function of the heart's chambers and demonstrated outcomes comparable to those acquired by doctors manually but much quicker.
Unlike a standard manual MRI analysis, which can take up to 45 minutes or more, the new AI model takes just a few seconds. This automated technique could offer speedy and dependable evaluations of heart health, with the potential to enhance patient care." Dr.
Pankaj Garg, University of East Anglia's Norwich Medical School The retrospective observational study consisted of data from 814 patients from Sheffield Teaching Hospitals NHS Foundation Trust and Leeds Teaching Hospitals NHS Trust, which.
