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Prostate cancer grading and quantification is significantly more accurate with AI-assisted platform



For their research, 1,000 whole-slide images from the biopsy specimens of 589 men with confirmed prostate cancer were analyzed. Three academic urologic pathologists examined the slides manually and then again using the AI-assisted platform.  

At the patch-pixel level, the AI system was able to differentiate between prostate cancer and benign prostatic epithelium and stroma with high accuracy; and nearly perfect concurrence was noted between the AI system and the training pathologist at the slide level. When the pathologists took advantage of AI assistance, significant enhancements…


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Radiology AI
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