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
Year: 2017
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
The End of Human Doctors – Introduction
I have emerged, blinking, from the darkness of grant/paper writing purgatory (a.k.a December to March in Australia). It is time to get the blog going again, and to make up for the long gap in posts I'm going to start with the big one. The question I get every time I tell a colleague what I … Continue reading The End of Human Doctors – Introduction
Why I just love dropping out of MOOCs
I love massive open online courses. I love everything about them. I love the format. I love the platforms. I love the teachers. I love the flexibility and the lack of friction. And I love dropping out of them. This picture turned up in my Twitter feed recently, from Class Central by way of the … Continue reading Why I just love dropping out of MOOCs



