Heart and circulation disorders account for one in three deaths worldwide each year. Scots researchers set out to investigate the “real-world benefits” that artificial intelligence might offer to vulnerable people.
Researchers at the University of Dundee’s School of Medicine examined a final cohort of 578 individuals to explore how AI could be helpful, made possible by patients who voluntarily provided their data to the Scottish Health Research Register and Biobank (SHARE).
The group employed AI to conduct research that was published in the journal ESC Heart Failure.
After that, the photos were examined using AI deep learning to find any irregularities that would put a patient at risk.
“Our research represents an advancement in the utilisation of deep learning to automatically interpret echocardiographic images,” stated Professor Chim Lang.
This may make it easier for us to identify heart failure patients at large scale using datasets from electronic health records.
