Radiology is a classic area of medical AI. AI systems for medical image analysis have several major advantages over human radiologists:

1. They can be trained on millions of scans, far more than a human can be trained on

2. They can give results instantly

3. Many studies indicate that, in many contexts, AI systems are more accurate for disease detection and diagnosis

That’s the promise. But what is the reality? Where is the field at? What are the successes and failures?

I discuss this with Darren Stephens, Senior Vice President of Qure.ai