From reducing claims denials to identifying heart attacks, here are five ways the cardiology industry has harnessed AI:
- Los Angeles-based Cedars-Sinai researchers created EchoPrime, an AI-based model that can analyze and produce echocardiogram reports.
Trained on more than 12 million videos paired with cardiologist interpretations, the model produces a “verbal summary of heart function and structure” to assist in diagnosis, according to a Nov. 19 news release from Cedars-Sinai.
- A study led by Sacramento, Calif.-based UC Davis Health found an AI-powered electrocardiogram model more accurately identified ST-elevation myocardial infarctions and produced fewer false alarms compared to standard triage procedures.
“These results demonstrate the potential of AI-based applications to transform emergency cardiovascular care,” Bryn Mumma, MD, professor of emergency medicine at UC Davis Health and primary investigator of the study, said in a Nov. 19 news release from the health system.
- Rochester, Minn.-based Mayo Clinic used AI and genetic data to detect early signs of a rare and often fatal heart condition, arrhythmogenic right ventricular cardiomyopathy.
This project is part of Mayo Clinic’s broader Precure initiative, which aims to identify and address diseases before symptoms arise. - UnitedHealth’s Optum launched Optum Real, an AI-powered system designed to streamline claims and reimbursement by providing instant coverage validation for providers.
Dave Ingham, DO, chief digital and information officer at Minneapolis-based Allina Health said the system reduced cardiology denials by 1%. - Cleveland Clinic and DASI Simulations are pursuing a two-year co-development initiative aimed at creating the world’s first AI “co-pilot” system for interventional cardiology.
The partnership aims to develop AI-powered predictive modeling tools for the treatment of structural heart diseases.
Leave a Reply