The ECG stood out to me because my wife is a cardiologist, and worked with a company iCardiac to look for specific anomalies in ECGs. They were looking for Lon

The ECG stood out to me because my wife is a cardiologist, and worked with a company iCardiac to look for specific anomalies in ECGs. They were looking for LongQT to ensure clinical trials didn't mess with the heart. There was a team of data scientists that worked to help automate this, and they couldn't so they just augmented the UI for experts - there was always a person in the loop. Looking at an ECG as a layperson it's a problem that seems easy if you know about some tools in your math toolbox, but it's deceptively hard and a false negative might mean death for the patient. So, I'm not going to trust a generic vision transformer model to this task, and until I see overwhelming evidence I won't trust a specifically trained model for this task.