From decision support to medical scribes, analytics and patient monitoring, AI is becoming a part of everyday clinical life.

But one area has surged ahead. A sector that was using AI long before everyone and their nan had heard of ChatGPT. Diagnostics.

It’s had its doubters, and overcome many of them. Much of healthcare retains an understandable level of scepticism towards AI, but in diagnostics it’s becoming commonplace. And that has positive repercussions for all healthcare AI.

Studies have shown unbelievable accuracy rates, including 93% in heart disease classification, potentially saving lives.

So let’s dive deeper into diagnostics. Where is it working and how much further can it go?