Neural network learns to differentiate between healthy and inflamed bones using finger joints https://t.co/cKA1R5tl5F https://t.co/AN0y0iDivp https://t.co/YlDaahGXVO
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Neural networks of high-res quantitative CT (HR-pQCT) scans allowed for 3D imaging of MCP2 to differentiate normals from #RA & #PsA. 932 of 617 ppts correct AuROC for HC 82%, RA 75%, PsA 68%. UA pts read as 86% RA,11% PsA, & 3% HC https://t.co/wSQg
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RT @LkasDer: I am very pleased that our article was accepted at Frontiers in Medicine. We were able to show that it is possible to distingu…