Key points from article :
Researchers at the University of Dundee utilized artificial intelligence (AI) to analyze electronic health records and echocardiography heart scans to identify heart failure risk in a study of 578 patients.
The AI-enhanced scans detected subtle anomalies in heart structure and function not typically seen in routine scans, leading to more detailed and comprehensive reports.
This enhanced analysis could enable earlier and more accurate diagnosis of heart failure, a prevalent but often under-diagnosed condition.
The study, published in the journal ESC Heart Failure, demonstrates AI's potential to streamline patient identification for clinical trials and improve heart failure surveillance.
Researchers believe this approach could benefit patients worldwide by allowing for earlier detection and intervention.
The findings offer a promising example of how AI can be leveraged to address the global burden of heart disease, a leading cause of death.
