A new AI system trained on vast datasets of routine electrocardiograms claims to detect heart disease risks faster than human analysis, processing results in under two seconds. By identifying subtle patterns invisible to the naked eye, the technology could help prioritize high-risk patients for earlier intervention. Researchers say the tool’s ability to extract deeper insights from standard ECG readings marks a potential breakthrough in cardiac care. The development raises questions about how such advanced diagnostics might reshape clinical workflows and patient outcomes.
Technology trained on millions of routine ECGs could fast-track high-risk patients for treatmentDoctors have developed a “superhuman” AI tool that can spot heart disease in less than two seconds.The groundbreaking technology has been trained on millions of patients and works by extracting more information from a routine electrocardiogram (ECG) than the human eye can typically see. Continue reading...
