Interesting debate underway about the potential of @human_dx's AI-enabled crowdsourcing of diagnosis. Part 1: @sciamhttp://bit.ly/2vSZQ30
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Why does it need a doc and not just a nurse/special medical technician at 1/3rd the cost?
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Indeed, hardly a "dumb question." If AI increases doc productivity, that lowers staffing. If makes job easier, can be done by cheaper staff.
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Collaboration makes docs better - just ask the hive mind of GPDU, created by doctors, for doctors, to improve patient care and Dr wellbeing.
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Agree! Most interesting applications of AI to diagnosis are MD + machine: objective feedback, personalized training, and decision support.
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Isn't there an assumption that all docs as good as eliciting and framing? In future, can't decision tree + AI+ video = doc ?
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Obvious. Of course AI will help with diagnosis. The trick is the old problem of GIGO. Need better studies to feed in to the AI.
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But how much of current doctor workload is 'elicit and frame question' and how much is 'answer question'?
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This
@TEDTalks video is very relevant: How AI can enhance our memory, work and social lives https://www.ted.com/talks/tom_gruber_how_ai_can_enhance_our_memory_work_and_social_lives …Thanks. Twitter will use this to make your timeline better. UndoUndo
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Thank u! In medicine, AI is not AI (nor magic) It's technology. Clever, & built by brainiacs, no doubt. But "intelligence"? No.
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