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<p>Artificial intelligence (AI) offers new opportunities to enhance diagnostics and therapy planning in orthopaedic oncology—a&#xa0;field marked by the rarity of musculoskeletal tumors and associated clinical challenges. This review presents the current state of AI-based image analysis, segmentation, and prognostic modeling, and highlights key applications including differential diagnosis, surgical planning, and workflow optimization. In addition to outlining the technological foundations, the article addresses limitations, ethical concerns, and essential requirements for successful clinical integration. It aims to provide a&#xa0;realistic perspective on both the potential and the limitations of AI in this specialized domain.</p>

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Unterstützung durch künstliche Intelligenz in der Tumororthopädie

  • 期刊论文

  • 发表日期：

    2026年1月7日

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  • Sebastian Breden,
  • Paulina Seidl,
  • Sarah Consalvo,
  • Ulrich Lenze,
  • Carolin Knebel,
  • Rüdiger von Eisenhart-Rothe,
  • Florian Hinterwimmer

摘要

Artificial intelligence (AI) offers new opportunities to enhance diagnostics and therapy planning in orthopaedic oncology—a field marked by the rarity of musculoskeletal tumors and associated clinical challenges. This review presents the current state of AI-based image analysis, segmentation, and prognostic modeling, and highlights key applications including differential diagnosis, surgical planning, and workflow optimization. In addition to outlining the technological foundations, the article addresses limitations, ethical concerns, and essential requirements for successful clinical integration. It aims to provide a realistic perspective on both the potential and the limitations of AI in this specialized domain.