More than any other part of this blog series, what we talk about today will have the most impact on whether machines are going to replace doctors anytime soon. We are going to start exploring the cutting edge of research in medical automation. In the previous articles in this series, we simply assumed deep learning can automate medical tasks. … Continue reading The End of Human Doctors – The Bleeding Edge of Medical AI Research (Part 1)

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

In a change of plans, today I am going to provide a bit of relief to the doctors and medical students reading this series. Instead of looking at regulation, I want to talk about the timelines of medical automation that came up last week. I'm going to flesh out those ideas a bit, because I think putting … Continue reading The End of Human Doctors – Radiology Escape Velocity

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