ArticleEFORT open reviews2026
A review of digital orthopedic techniques in pre- and intra-operative management of scaphoid fracture.
Article in EFORT open reviews, 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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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
4 authors.
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Abstract
Digital orthopedics integrates artificial intelligence, finite element analysis, virtual surgical planning, intraoperative navigation, robotics, and three-dimensional printing into a precise, individualized workflow for scaphoid fracture management. Artificial intelligence-based algorithms achieve high diagnostic accuracy for scaphoid fractures on plain radiographs, aid in detecting occult fractures, and support treatment decisions. Three-dimensional fracture mapping and finite element analysis enable quantitative assessment of fracture morphology and biomechanical stability, supporting individualized preoperative planning. Computer-assisted navigation reduces radiation exposure and guidewire attempts compared with conventional fluoroscopy but remains limited by registration inaccuracy and dependence on manual execution. Robot-assisted surgery improves procedural consistency and screw accuracy, with a learning curve of approximately 10-20 cases; however, it is constrained by longer setup times, high costs, and predominantly level IV evidence. Virtual surgical planning combined with three-dimensional printing provides patient-specific percutaneous guides, reduction templates, anatomical models, and custom prostheses, improving accuracy, reducing radiation exposure, and enabling motion-preserving salvage for scaphoid nonunions and scaphoid nonunion advanced collapse. Current evidence is largely based on small case series and cadaveric studies, highlighting the need for standardized protocols and high-quality comparative trials to support widespread adoption.
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