Could a machine do as well or better? Could it grow and learn in a similar way? Things click together as radiologists grow and learn. The resident who noticed the “funny” area acknowledged that he couldn’t have found it by using any rule book: the process was partly subconscious. It just “ looks funny.” Sure enough, follow-up scans reveal an evolving stroke in the “funny” spot. A resident sees something he can’t really describe. He starts with a vignette about doctors-in-training learning to diagnose early signs of stroke on CT scans. Versus M.D.” asking “What happens when diagnosis is automated?” I encourage you to click on the link and read the whole original article, with all its details and with a writing style that is pure pleasure to read but for those who don’t have the time or inclination, I will attempt to provide a brief summary.
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In the Apissue of The New Yorker, he offers us food for thought on another subject with an insightful article titled “ A.I.
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I was delighted to learn that he is working on another book, this time on immunology, where among other things he plans to address what he calls “the nonsense about vaccination and autism.” I can’t wait to read it.Įverything he writes is worth reading, and fortunately we needn’t wait for his next book. I previously reviewed his Pulitzer-Prize-winning book on cancer, The Emperor of All Maladies: A Biography of Cancer and his subsequent book on genetics, The Gene: An Intimate History. Siddhartha Mukherjee, a cancer physician, researcher, and stem cell biologist who is also a phenomenally gifted writer and an unequaled explainer of science. Is this the doctor of the future? Probably not.