Category: Medicine and Machine Learning
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Will AI have an algorithm for wishful thinking? Human error as a valued feature in cancer care
As I’ve previously noted, it is becoming increasingly clear that machine learning can match and in many ways exceed the capacities of human physicians, including specialists like medical oncologists, who are faced with mounting challenges of keeping up with more and more new publications, along with greater complexity of molecularly driven cancer care. The question in the future…
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5 Key Algorithms for Artificial Intelligence to Improve on Human Limitations in Cancer Care
I’m currently working my way through the book Algorithms to Live By: The Computer Science of Human Decisions by Brian Christian & Tom Griffiths, which deconstructs many key life decisions into algorithms that can lead to optimal decision-making. As it cogently reviews many basic concepts using a wide range of life examples, I can see…
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Vinod Khosla was right: Machine learning/algorithms can replace plenty of what physicians do
Speaking in September, 2012, technology expert and Silicon Valley entrepreneur/venture capitalist Vinod Khosla made the bold prediction that computer algorithms could replace 80% of physicians. Coming on the heels of the excitement of IBM’s Watson, a supercomputer of sorts that decisively vanquished the storied human champions of Jeopardy! in 2011 and was promptly turning to…