AI tool detects hard-to-identify heart dysfunction from standard ECGs

A new study led by researchers at Wake Forest University School of Medicine has found that artificial intelligence (AI) can help clinicians identify signs of heart failure, including a type that is often missed in routine care. The AI model also performed well using data from a single ECG lead similar to the measurement captured by some wearable devices.