Research map: Predictive accuracy of a general-purpose artificial intelligence model for cut-out following proximal femoral nailing

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  1. An estimate of the worldwide prevalence and disability associated with osteoporotic fractures · Olof Johnell · 2006 · 4774 citations · Cited by this paper
  2. Short- to mid-term clinical outcomes and return to sport and work after arthroscopic debridement of the extensor carpi radialis brevis in patients with chronic lateral epicondylopathy · 2026 · Related
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  9. The value of the tip-apex distance in predicting failure of fixation of peritrochanteric fractures of the hip. · Michael R. Baumgaertner · 1995 · 1472 citations · Cited by this paper
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  13. Accuracy of a Generative Artificial Intelligence Model in a Complex Diagnostic Challenge · Zahir Kanjee · 2023 · 459 citations · Cited by this paper
  14. A multimodal imaging approach to predict carpal tunnel syndrome after distal radius fractures · 2026 · Related
  15. Reverse Obliquity Fractures of the Intertrochanteric Region of the Femur · George John Haidukewych · 2001 · 389 citations · Cited by this paper
  16. Artificial intelligence advancements for orthopaedic clinical reasoning: longitudinal assessment of newer models (ChatGPT-5, Grok-3, Gemini 2.5 Flash) compared to clinicians · 2026 · Related
  17. Artificial Intelligence in Fracture Detection: A Systematic Review and Meta-Analysis · Rachel Yi Ling Kuo · 2022 · 361 citations · Cited by this paper
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  19. Reliability of Predictors for Screw Cutout in Intertrochanteric Hip Fractures · Kirstin De Bruijn · 2012 · 205 citations · Cited by this paper
  20. Artificial Intelligence for Hip Fracture Detection and Outcome Prediction · Johnathan R. Lex · 2023 · 125 citations · Cited by this paper
  21. Risk Factors Associated With Cephalomedullary Nail Cutout in the Treatment of Trochanteric Hip Fractures · David J. Ciufo · 2017 · 99 citations · Cited by this paper
  22. Artificial intelligence in orthopaedics: A scoping review · Simon John Federer · 2021 · 76 citations · Cited by this paper
  23. Machine Learning Algorithms Predict Achievement of Clinically Significant Outcomes After Orthopaedic Surgery: A Systematic Review · Kyle N. Kunze · 2021 · 73 citations · Cited by this paper
  24. Artificial intelligence in commercial fracture detection products: a systematic review and meta-analysis of diagnostic test accuracy · Julius Husarek · 2024 · 61 citations · Cited by this paper
  25. Meaningless Applications and Misguided Methodologies in Artificial Intelligence–Related Orthopaedic Research Propagates Hype Over Hope · Prem N. Ramkumar · 2022 · 41 citations · Cited by this paper
  26. New tip-apex distance and calcar-referenced tip-apex distance cut-offs may be the best predictors for cut-out risk after intramedullary fixation of proximal femur fractures · Gaetano Caruso · 2022 · 39 citations · Cited by this paper
  27. AI in Orthopedic Research: A Comprehensive Review · Abdülhamit Mısır · 2025 · 38 citations · Cited by this paper
  28. Beyond traditional orthopaedic data analysis: AI, multimodal models and continuous monitoring · Felix Conrad Oettl · 2025 · 22 citations · Cited by this paper
  29. Artificial intelligence in orthopedic trauma: a comprehensive review · Abdülhamit Mısır · 2025 · 20 citations · Cited by this paper
  30. AOA Critical Issues Symposium: Shaping the Impact of Artificial Intelligence within Orthopaedic Surgery · Alpesh A. Patel · 2023 · 15 citations · Cited by this paper
  31. Comparing the Efficacy Between ChatGPT 5, Grok 3, and Claude 4.5 Sonnet in Analyzing Orthopedic Trauma-Related Imaging · Joshua Aaron Holmstrom · 2026 · 4 citations · Cited by this paper
  32. The need for better quality studies: A systematic scoping review of current utility of artificial intelligence in orthopaedics and research gaps in the knee joint · Nadia Sadat Aghili · 2025 · 2 citations · Cited by this paper
  33. This Week in JAMA · 2009 · 1 citation · Cited by this paper

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