Digital Pathology's Hidden Bottleneck: Pre-Analytics | Dr. Aleks Żuraw posted on the topic | LinkedIn
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When people hear “AI validation,” it often sounds abstract. But validation is actually very simple in principle. Andrew explains how they validated an algorithm in Geneva as a lab-developed test —similar to how histology labs validate IHC or PD-L1 assays. -You define your requirements upfront. -You decide what metrics matter -You agree on those metrics with clinical experts. -And then you test the tool in real workflow conditions to see if it actually meets them. For example, run it in routine p
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TikTokdigitalpathology
Deploying digital pathology isn’t about buying a tool —it’s about leading a transformation. And where many projects struggle isn’t technology, but mindset and context. Digital pathology changes workflows, roles, regulations, and ultimately patient care. Validation isn’t just about performance metrics —it’s about intended use, clinical fit, and how real people actually work with the system. There’s no universal playbook either, because academic centers, community hospitals, and distributed teams
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TikTokdigitalpathology
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Digital Pathology Market Growth to Reach $3.8B by 2034 | Global Market Insights Inc. posted on the topic | LinkedIn
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