AI clinical

A.I. Versus M.D. What happens when diagnosis is automated?

The word “diagnosis,” he reminded me, comes from the Greek for “knowing apart.” Machine-learning algorithms will only become better at such knowing apart—at partitioning, at distinguishing moles from melanomas. But knowing, in all its dimensions, transcends those task-focussed algorithms. In the realm of medicine, perhaps the ultimate rewards come from knowing together.

Source: A.I. Versus M.D. What happens when diagnosis is automated?

This New Yorker article by Siddhartha Mukherjee explores the implications for practice and diagnostic reasoning in a time when software is increasingly implicated in clinical decision-making. While the article is more than a year old (a long time in AI and machine learning research), it still stands up as an excellent, insightful overview of the  state of AI-based systems in the domain of clinical care.  It’s a long read but well worth it.

By Michael Rowe

I'm a lecturer in the Department of Physiotherapy at the University of the Western Cape in Cape Town, South Africa. I'm interested in technology, education and healthcare and look for places where these things meet.