Innovative AI tool enhances diagnosis of advanced chronic liver disease
Mayo Clinic scientists have created an AI model that analyzes ECG data to detect advanced liver disease early, potentially doubling diagnosis rates compared to traditional methods, and aims to improve patient outcomes.
To address the increasing rates of advanced chronic liver disease, Mayo Clinic scientists developed an artificial intelligence (AI) model that aids physicians in early diagnosis in asymptomatic patients. Key findings from the study are summarized in a press release.
The researchers hope their device will lead to better outcomes for these patients. The non-invasive model works by scanning electrocardiogram (ECG) data and finding advanced liver disease. Physicians can then confirm diagnosis via imaging and blood testing. According to Mayo Clinic, their device “found twice the number of patients who were diagnosed by standard methods.” The researchers will follow up with advanced liver disease patients from their study over a two-year period.
