ai analyzed mri images heart failure

With the help of AI, Researchers from Queen Mary University of London identified the genes that might lead to heart failure. AI analyzed heart MRI images of the patients and got several consistencies.

The research team analyzed heart MRI images of the volunteers who shared their data with UK Biobank.

About UK Biobank

UK Biobank is a large study in the UK. It involved about 500,000 volunteers at ages from 40 to 69. They shared their health data for further analysis of the etymology and spreading of some diseases including genetic diseases. Thanks to the centralized medical record management system UK National Health Service, researchers are able to track the health condition of the volunteers throughout 30 years since 2006 when the study began.

Volunteers shared their personal data such as height, weight, blood pressure, biological materials, and other important information. Their data is being analyzed within all these years. Thanks to these results, scientists find out risk zones and reasons for many diseases. They include cancer, diabetes, Alzheimer’s and so on. Besides, it lets scientists get analytics on how many people got to a hospital or died. Based on this information they can do research on the probable causes of these events.

One of the reasons why patients get heart failure is a reduced ability of the left ventricle to pump blood. According to AI that analyzed heart MRI images of the patients, 22-39% of the size and function variation of the left ventricle accounts for genetic factors that may lead to heart failure. Scientists managed to distinguish 14 regions in the human genome that are responsible for the proper functioning of the left ventricle.

Thanks to the developed AI algorithm, the team was able to analyze the images much faster. Scientists believe that thanks to introducing cutting-edge technologies in the healthcare industry they will be able to identify more underlying risks for cardio diseases. As a result, more patients will have an opportunity to get an earlier diagnose and start proper treatment.