Cedars-Sinai announced that they developed artificial intelligence (AI) that can diagnose liver disease using footage from an echocardiogram.
According to a press release, many heart disease patients develop chronic liver disease. Additionally, many people with liver disease remain undiagnosed. Cedars-Sinai designed a machine learning program named EchoNet-Liver to help bridge the gap of undiagnosed liver disease.
During the study period, EchoNet-Liver studied “patterns in more than 1.5 million echocardiogram videos” and “was able to detect cirrhosis (scarring of the liver) or steatotic liver disease by studying images of the liver picked up during the echocardiograms.” When compared to diagnoses made from MRI images and abdominal ultrasounds, EchoNet-Liver yielded similar results.
The study is published in NEJM AI.
