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The diabetic retinopathy study (and the somewhat recent stanford dermatology study) were the first ML studies I had read about that blew me away in terms of the
by epmaybe 9y ago
The diabetic retinopathy study (and the somewhat recent stanford dermatology study) were the first ML studies I had read about that blew me away in terms of their sensitivities and specificities, as compared to real doctors. Your comment on specific subtasks is perfect, and I try and use these examples when discussing ML with fellow medical students.
However, like you said, the medical field is very slow, and has quite a lot of inertia to maintain the status quo. Unless insurance companies refuse to compensate practitioners that don't use these tools, I fear that few, if any, in the healthcare field will opt to use such techniques.
And finally: How should someone with both a medical and computer science background get into ML?
- pak 9y agoI found the Statistical Learning self paced course on Stanford's site to be a great formal intro to ML algorithms implemented in R, and it is taught by the inimitable Hastie and Tibshirani: http://statlearning.class.stanford.edu http://statlearning.class.stanford.edu This post on ML in medicine is a pretty good overview of everything that has been going on recently and the nuances often lost in the current hype: https://lukeoakdenrayner.wordpress.com/2016/11/27/do-computers-already-outperform-doctors/ https://lukeoakdenrayner.wordpress.com/2016/11/27/do-compute...