The advanced algorithm achieved a sensitivity of 93% and specificity of 98%. It was trained to identify up to five different valvular diseases at the same time from a single audio clip.

“If we can deploy our model on a population-level ECG screening, we would be able to pick up many more of these patients before they have irreversible damage,” a cardiologist behind the new study explained. 

Echocardiography expert Roberto Lang, MD, says artificial intelligence will be so important to cardiac ultrasound in the near future that echo labs not using it will be inefficient and less accurate than labs that do use it.

The algorithm, developed using data from more than 7,00 chest pain patients, performed better than multiple techniques currently used to evaluate cardiac events. 

Buzzworthy developments of the past few days.

Researchers at the University of Illinois Chicago have developed an elective course that can quickly transform fourth-year medical students from functional AI novices to budding AI experts.

New research suggests AI could offer physicians a new, state-of-the-art approach to sudden cardiac arrest risk management.

There are now numerous AI algorithms for electrophysiology. Jagmeet Singh, MD, examined how this advanced technology is being applied.