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A new AI model can diagnose diseases on chest X-rays by using data solely from accompanying clinical notes hvrd.me/YJcr50KLtvW
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This was a collaboration between Harvard (@HarvardDBMI), Stanford CS (@StanfordAILab), and Stanford AIMI (@StanfordAIMI).
Extraordinary team of first authors @EkinTiu, @EllieTalius, Pujan Patel w/ @curtlanglotz @AndrewYNg
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Today, we're publishing CheXzero in @natBME 🚀
We show we can detect diseases from chest X-ray images at the level of radiologists *without labeling for individual diseases*.
How do we do it? By teaching the model to read the radiology report.
nature.com/articles/s4155…

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@DeGodsNFT floor is mooning. Crazy you can make a living by believing/investing in dope projects...
#degodsNFT
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Sharing my Ph.D. thesis, titled "Deep Learning for Medical Image Interpretation".
I highlight some key challenges and advances in terms of algorithms, datasets, and clinical studies.
cs.stanford.edu/~pranavsr/file…
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🚨🚨 The big man left (2) tickets to this weeks @Vikings game in my stocking!! RT for your chance to sit in the @Delta 360 club as we take on the bears in the final home game of the season!! It’s easy just hit RT!! 🚨🚨
#WPMOYChallenge Rudolph
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