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A "deep learning" artificial intelligence model can identify pathology,
or signs of disease, in images of animal and human tissue faster and
often more accurately than humans, offering the potential for improved
medical diagnoses, such as detecting cancer from a biopsy image in
minutes
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|u/giuliomagnifico - 23 hours
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|>To develop the AI model, computer scientists Colin Greeley, a former
|WSU graduate student, and his advising professor Lawrence Holder trained
|it using images from past epigenetic studies conducted by Skinner’s
|laboratory. These studies involved molecular-level signs of disease in
|kidney, testes, ovarian and prostate tissues from rats and mice. The
|researchers then tested the AI with images from other studies, including
|studies identifying breast cancer and lymph node metastasis. > >The
|researchers found that the new AI deep learning model not only correctly
|identified pathologies quickly but did so faster than previous models —
|and in some cases found instances that a trained human team had missed
|>Traditionally, this type of analysis required painstaking work by teams
|of specially trained people who examine and annotate tissue slides using
|a microscope — often checking each other’s work to reduce human error.
|Paper:
|u/vision0709 - 52 minutes
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|Why is deep learning in quotes?
|u/KivogtaR - 18 hours
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|Imagine if deep learning could detect crime before it happens. Cops show
|up at your house to arrest you for a crime you haven't committed but
|"trust me bro, you will"
|