One doc tagged with "deep learning"

The lecture discussed the current state of AI in Healthcare, focusing on medical imaging and how it may augment a cardiologist's expertise and practice. The goal, of course, is to match or indeed outperform the clinician's/expert's performance here (the latter being the Gold Standard). The assertion was that it will fundamentally transform this field over the next few years. The example supplied was ValveNet, a model that attempts to predict Valvular Heart Disease (VHD) using Deep Learning. The model uses data from Electrocardiography (ECG/EKG) which is different from Echocardiography. The former is familiar Cardiologists cannot just use Electrocardiograms to diagnose VHD! EchoNet (2005), "trained on more than 1  million heart rhythm and imaging records" using Deep Learning techniques has shown very high diagnostic accuracy and outperformed experts and is a promising sign of the potential of AI in medicine.