Physician, scientist, and writer Siddhartha Mukherjee (best known for his 2010 book Emperor of All Maladies: A Biography of the Cancer Gene) recently penned the essay "A.I. Versus M.D.: What happens when diagnosis is automated?" In this New Yorker piece, Mukherjee investigates the feasibility of incorporating machine learning into medical diagnosis. Mukherjee reflects on his own medical training and the skills and knowledge base involved in medical diagnosis. He then incorporates interviews with two computer scientists, Sebastian Thrun at Stanford University and Geoffrey Hinton at the University of Toronto, who are involved in developing new artificial intelligence technologies to diagnose a patient. Both Thrun and Hinton are inspired, in part, by the experiences of having close family members diagnosed with cancer. Hinton argues, "Early and accurate diagnosis is not a trivial problem. We can do better. Why not let machines help us?" This article will be of interest to anyone fascinated by the intersections of healthcare and technology.