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Overview of artificial intelligence in hand surgery.

Jorma Ryhänen1, Gordon C Wong2, Turkka Anttila1

  • 1Musculoskeletal and Plastic Surgery, Department of Hand Surgery, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.

The Journal of Hand Surgery, European Volume
|March 4, 2025
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Summary

Artificial intelligence (AI) shows promise in hand surgery for diagnosis and patient education. However, more large-scale studies are needed to validate AI tools for clinical use and improve patient care.

Keywords:
Artificial intelligencedeep learningdistal radius fracturehand surgerymachine learningscaphoid fracture

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Area of Science:

  • Medical Technology
  • Computer Science
  • Orthopedic Surgery

Background:

  • Artificial intelligence (AI) is increasingly utilized in medicine.
  • Its application in hand surgery is emerging but not yet widespread.

Purpose of the Study:

  • To provide an overview of AI principles, applications, and future directions in hand surgery.
  • To highlight the potential benefits and current limitations of AI in this field.

Main Methods:

  • Literature review and synthesis of existing research on AI in hand surgery.
  • Analysis of current applications and future trends.

Main Results:

  • AI demonstrates potential in enhancing diagnostic accuracy, predicting surgical outcomes, and aiding patient education.
  • Current studies are predominantly retrospective with small sample sizes, limiting generalizability.

Conclusions:

  • Further robust, large-scale research is essential for clinical validation of AI in hand surgery.
  • Collaboration, data sharing, and federated learning are crucial for advancing AI from experimental to clinically applicable tools.
  • Successful integration of AI can enhance patient care and optimize clinical workflows in hand surgery.