Cardiologists make decisions for patient care from data, and they tend to have access to richer quantitative data on patients compared with many other specialties. As the amount of available patient-level data continues to increase and we continue to incorporate new streams of complex biomedical data into the clinic, it is likely that AI will become essential to the practice of clinical medicine because it enables physicians to interpret more data in greater depth than ever before.

At ML6 we developed a model to predict the need of a pacemaker based on ultrasound scans of the heart. Computer vision was the key to solving this problem. Our model learns to  recognize visual indicators of heart disease from echocardiograms of the patient.