ArticleFrontiers in surgery2023
Performance evaluation of an AI-based preoperative planning software application for automatic selection of pedicle screws based on computed tomography images.
Article in Frontiers in surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Global research trends in artificial intelligence-integrated robot-assisted spine surgery: a bibliometric and visualized analysis.Journal of robotic surgery · 2026Review
- Agreement Between Automated Pedicle Screw Planning and Surgeon-Selected Implant Dimensions in Thoracic and Lumbar Spine Surgery: A Three-Year Single-Center Study.Journal of clinical medicine · 2026Article
- A comprehensive review of biomechanical factors influencing pedicle screw fixation strength and the critical role of artificial intelligence.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026Article
- Comparative Accuracy of Preoperative Planning Technologies in Spinal Deformity Surgery: A Systematic Review.Cureus · 2026Review
- CBCT Assessment of Palatal Safe Zones in Adults with Various Skeletal Patterns.International dental journal · 2026Article
- Preoperative evaluation of C2 pedicle screw placement using a deep learning model: Development and validation study.PloS one · 2026Article
- Artificial Intelligence in Spine Surgery: Imaging-Based Applications for Diagnosis and Surgical Techniques.Current reviews in musculoskeletal medicine · 2025Review
- Intelligence Architectures and Machine Learning Applications in Contemporary Spine Care.Bioengineering (Basel, Switzerland) · 2025Review
- Can artificial intelligence in spine imaging affect current practice? Practical developments and their clinical status.North American Spine Society journal · 2025Article
- Autonomous Establishment of CT-Independent Sections to Obtain Optimum Pedicle-Screw Axis in Direction, Length, and Safety Margin.The international journal of medical robotics + computer assisted surgery : MRCAS · 2025Article
- Emerging Innovations in Preoperative Planning and Motion Analysis in Orthopedic Surgery.Diagnostics (Basel, Switzerland) · 2024Review
- [Orthopedics and trauma surgery in the digital age].Orthopadie (Heidelberg, Germany) · 2024Review
- Personalizing adult spinal deformity surgery through multimodal artificial intelligence.Acta orthopaedica et traumatologica turcica · 2024Review
- Patient-Specific Surgical Correction of Adolescent Idiopathic Scoliosis: A Systematic Review.Children (Basel, Switzerland) · 2024Review
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Recent neurosurgical applications based on artificial intelligence (AI) have demonstrated its potential in surgical planning and anatomical measurement. We aimed to evaluate the performance of an AI planning software application on screw length/diameter selection and insertion accuracy in comparison with freehand surgery. Methods: A total of 45 patients with 208 pedicle screw placements on thoracolumbar segments were included in this analysis. The novel AI planning software was developed based on a deep learning model. AI-based pedicle screw placements were selected on the basis of preoperative computed tomography (CT) data, and freehand surgery screw placements were observed based on postoperative CT data. The performance of AI pedicle screw placements was evaluated on the components of screw length, diameter, and Gertzbein grade in comparison with the results achieved by freehand surgery. Results: Among 208 pedicle screw placements, the average screw length/diameters selected by the AI model and used in freehand surgery were 48.65 ± 5.99 mm/7.39 ± 0.42 mm and 44.78 ± 2.99 mm/6.1 ± 0.27 mm, respectively. Among AI screw placements, 85.1% were classified as Gertzbein Grade A (no cortical pedicle breach); among free-hand surgery placements, 64.9% were classified as Gertzbein Grade A. Conclusion: The novel AI planning software application could provide an accessible and safe pedicle screw placement strategy in comparison with traditional freehand pedicle screw placement strategies. The choices of pedicle screw dimensional parameters made by the model, including length and diameter, may provide potential inspiration for real clinical discretion.
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