I think the people who need to be sold are those with a vested interest in not buying into it. I say this as a RIS s/w professional of 20 years. 'ologists will do anything to prevent generic replacement for their reports/studies. Just a wee thing I've noticed along the way.
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This could be good if (big if) early ID leads to care/support that max quality life years for all, esp. folks w/ historic health inequities (women, PoC, poor rural whites), and protects folks from workplace consequences and social stigma. Must get non-tech stuff right & aligned
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It is worth mentioning that the method as is reported would falsely classify almost fifth of the population as developing Alzheimer's.
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At least if you want to detect everyone. Can't find the specificity numbers for 92% sensitivity.
End of conversation
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AI : great for Automated,routine procedures/problems, but may not address a) innovation(leading to obscolescence of algorithm(s)),b) outliers, or c) restricted competence of the development team who may devise an inappropriate Domain Model and manifestations of Type I/Ii errors.
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It’s definitely important. Looking forward seeing how it will perform “out in the wild” (incl. unsymptomatic samples), at scale & not unimportantly pushing the timeline for positive identification.
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Careful. I think you’re coming down with tennis elbow.
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Bogus AI for marketing purposes (increasingly IBM Watson, for example) vs. real is becoming murkier. Some of it (i.e. quality “machine/neural translation” of languages) will likely never be able to replace human analysis and input. Make sense?
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Doctor: "You need 10 years of medical training to do my job" AI: "I need 10 seconds and 10k training scans to do your job"
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In the healthcare field, few want to imagine a future where doctors' jobs are less safe than nurses'. AI replacing white collar workers, too, will be a shocker.
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