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Advancing Accuracy in Orthopedic Imaging

AI-Driven Segmentation on Weight Bearing CT Introduction Accurate segmentation is critical for orthopedic workflows, including preoperative planning, patient-specific instrumentation, and 3D modeling. This internal investogation by CurveBeam AI evaluates the accuracy of AI-driven segmentation compared to manual annotation on CBCT…

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elifearticle

Deep Learning AI (DLAI) Algorithm Aids in Determining Fracture Risk Using High Resolution Peripheral Quantitative CT (HR-pQCT) Images

A recent publication in the online journal eLife has described the world’s first application of a deep learning AI (DLAI) algorithm to aid in determining fracture risk using images derived from high resolution peripheral quantitative CT (HR-pQCT) scans of the…

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HalluxValgusSemiAutomaticPreview

Comparison Between Weight Bearing CT Semi-Automatic and Manual Measurements in Hallux Valgus

Key Points Semi-automatic measurements made on WBCT scans are reproducible and comparable to measurements performed manually. Software designed for WBCT help differentiate pathological from non-pathological conditions. Semi-automatic software tools can help orthopedic surgeons obtain more accurate diagnosis with WBCT and…

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