ArticleEuropean journal of orthopaedic surgery & traumatology : orthopedie traumatologie2026
AI-planned and robotic-assisted pedicle screw placement improves accuracy and reduces loosening in lumbar fusion for patients with low bone mass: a multicenter study.
Article in European journal of orthopaedic surgery & traumatology : orthopedie traumatologie, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
objectiveThis study aimed to evaluate the effectiveness of artificial intelligence (AI)-based pedicle screw trajectory planning combined with robotic-assisted screw placement in patients with lumbar degenerative disease (LDD) and low bone mass, based on a multicenter study.
methodsThis retrospective study included patients with LDD and low bone mass, defined as a bone mineral density of 40-120 mg/cm
resultsA total of 90 patients were included, with 42 in the AI group and 48 in the FH group. The mean follow-up duration was 29.7 months. Compared with the FH group, the AI group achieved a higher proportion of Grade A screw position and a lower rate of screw loosening. The AI group showed better preservation of intervertebral space height at final follow-up and shorter bone graft fusion time. Both groups showed significant postoperative improvements in Visual Analog Scale (VAS) and Oswestry Disability Index (ODI) scores, and the AI group exhibited significantly lower VAS scores for low back pain and ODI scores at final follow-up.
conclusionAI-assisted pedicle screw trajectory planning combined with robotic guidance improves screw placement accuracy, preserves intervertebral space height, accelerates bone graft fusion, and enhances clinical outcomes in patients with LDD and low bone mass.
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