The End of Human Doctors – Understanding Regulation

Today we are talking about medical regulation, which is the last part of our foundation. After this we will be able to assess current research and predict the future of medicine. If you don't know already, all medical systems, devices, and treatments are regulated. The level of oversight varies, but any technology which has direct impact on … Continue reading The End of Human Doctors – Understanding Regulation

The End of Human Doctors – Understanding Automation

Last week we discussed how doctors perform medicine, and what parts of the process are worth automating. It turns out that deep learning is a very good match for some of the most time consuming (and therefore costly) parts of medicine: the perceptual tasks. We also saw that many decisions simply fall out of the perceptual … Continue reading The End of Human Doctors – Understanding Automation

The End of Human Doctors – Understanding Medicine

Last post I introduced the big question - "Are doctors going to be replaced by computers soon?" We also saw one possible answer: "Yes", which we are going to investigate in this series of articles. Over the next few posts we will start building a foundation for answering this question, by defining and exploring some of the … Continue reading The End of Human Doctors – Understanding Medicine

Standardised reports might be good for humans, but they are probably bad for artificial intelligence

After an amazingly high number of readers for my last blog post (thanks to everyone who read and shared it), I have starting writing a series of posts on the big question in radiology – will radiologists be replaced by machines in the near future? Geoff Hinton thinks we have five to ten years left, and as one … Continue reading Standardised reports might be good for humans, but they are probably bad for artificial intelligence