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A comment on Automating breast cancer detection with deep learning. Parent comment

Re:Automating breast cancer detection with deep learning by mikekij on Tuesday June 13, 2017 @05:54PM (#14548999)
I've been looking at this space for a few years. I've come to the conclusion that one of the biggest obstacles to ML replacing/supplementing radiologists is the malpractice ambiguity. If a doctor misses a lesion on a chest Xray, the lawyers know who to sue. What if a ML algorithm that no human understands misses this. Who is liable? It's another sad example of technological progress in healthcare being stifled by bureaucracy / liability concerns.
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Re:Automating breast cancer detection with deep learning by avvakum on Tuesday June 13, 2017 @07:13PM (#14549472)
Liability is of a radiologist is ultimately offset by malpractice insurance. Similarly, the lawyers would go for ML algorithm developers. Now I can see ML insurance business with premiums tied to ML clinical performance ... Obviously there has to be a legislation in place for this.
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Re:Automating breast cancer detection with deep learning by wst_ on Wednesday June 14, 2017 @02:42AM (#14551032)
How is that possible? Are these images so obvious as 2+2=4? Legitimate question, I am layman in this area.
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