Possibly, but afaik most current AI rad companies are positioning products to augment human radiologists (not replace them). So layoffs in those companies, IF they’re happening, and not related to other economic factors, wouldn’t be an indictment of the replacement model.
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i don’t think it is *possible* to build a full replacement for a human radiologists at this point; no sane business would aim to do so in the near term. but see eg this from last year https://www.jacr.org/article/S1546-1440(18)30389-2/fulltext … and Hinton’s famous coyote quote
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For most current radiology CVML, dataset shift is an unresolved problem, use cases are narrow and (ethical) business cases are unproven.
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Agreed. Also: lack of interpretability. The ethical issues are being mishandled; use of AI, even if it actually worked, requires informed consent yet I do not hear any mention of this.
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@EricTopol's Deep Medicine is one source I learnt that suggested that the forward-thinking medical institutions will use technology to free up radiologists to have more time with patients. They have a uniquely impartial view on diagnosis that can be useful.Thanks. Twitter will use this to make your timeline better. UndoUndo
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It wouldn't be that surprising if true. How many of these companies have anything close to unique technology? How many have unique (and large) datasets? How many are solving *real* business problems (as opposed to developing narrow AIs that work badly)? My guess: not many.
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ALL of those logos are radiology AI companies? Wow
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Pure Storage definitely isn’t a radiology AI company.
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Berlin based Merantix Healthcare received CE approval for ML based breast cancer screening platform, automatically filtering out negative cases. Will the radiologist dealing with 5 instead of 100 cases lead to structural changes? You tell me!
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