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Author

Jitao Yang

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Open access Sep 2026

Development and Validation of a Computer-Assisted Screw Trajectory Planning Model Based on Iterative Closest Point Registration and Weighted K-Nearest Neighbors Algorithms for Cortical Bone and Pedicle Screw Techniques

Study Design Retrospective study. Objectives To develop and validate a computer-assisted model for planning screw trajectories to support modified cortical bone trajectory (MCBT), cortical bone trajectory (CBT), and pedicle screw (PS) techniques, based on iterative closest point (ICP) registration and weighted k-neares...

Abudusalamu Tuoheti, Gufuding, Musitapa Mijiti et al. · 1 citation
Open access Aug 2026

A machine learning model for automated anesthesia risk classification in lumbar spinal stenosis patients: development and multicenter validation

The machine learning model developed in this study demonstrates strong capability in stratifying anesthetic risk for patients with lumbar spinal stenosis, providing valuable reference for selecting surgical and anesthetic approaches.

Ji-Tao Yang, Yi-Xi Wang, Qi-Hao Chen et al. · 0 citations

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