Israeli researchers have developed an artificial intelligence (AI) program that analyses ECG readings and predicts heart failure weeks before it occurs.
A detail about Israeli researchers developed an AI tool that can predict heart failure with 80% accuracy
The new technique is now being utilized for patients suffering from myositis, or muscular inflammation, a condition that increases the risk of heart failure, according to the Times of Israel. The AI model was upgraded by incorporating data from ECG scans and medical records of 89 myositis patients between 2000 and 2020. The system then created a picture of modest patterns in ECGs that were associated with an increased risk of heart failure.
Dr. Shahar Shelly of Rambam Healthcare Campus, who conducted the research, told the outlet that this was the first AI tool designed specifically for this demographic. He explained that the instrument analyses unique cardiac patterns and can provide earlier detection than is now achievable. Dr. Shelly’s study found that the algorithm correctly predicted 80 percent of heart failure cases in a sample of myositis patients.
“We’re running ECG testing through the AI model, which detects subtleties that clinicians can’t ordinarily notice and forecasts who are in danger of heart failure,” Dr. Shelly explained.
“Given that these cardiac dysfunctions frequently result in death, this can save lives,” he noted.
Dr. Shelly and colleagues from the Cardiology Department at the Mayo Clinic Medical Center in Rochester, Minnesota, undertook the study. Despite the fact that the new technology has not yet been implemented in clinics, Dr. Shelly believes that in the future, the use of this model will allow the supply of appropriate therapies at an early stage, even before the patient’s medical condition deteriorates.
“What we’re talking about here is preventing catastrophic sickness and even death,” Dr. Shelly told the site. “In a population at high risk of heart failure, this can make a huge impact,” he noted.