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Reporting Guidelines for Artificial Intelligence Use in Orthopaedic Surgery Research.

Cody C Wyles1, Sami Saniei2, Kellen L Mulford2

  • 1Orthopedic Surgery Artificial Intelligence Laboratory, Department of Orthopedic Surgery, Mayo Clinic, Rochester, Minnesota; Department of Orthopedic Surgery, Mayo Clinic, Rochester, Minnesota.

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Summary

Artificial intelligence (AI) is increasingly used in orthopaedic research. This article outlines best practices for reporting AI in orthopaedics to ensure clarity and reproducibility for clinicians.

Keywords:
AIartificial intelligencedeep learningguidelinesmachine learningorthopedics

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Area of Science:

  • Orthopaedic Surgery
  • Medical Artificial Intelligence
  • Biomedical Research

Background:

  • The adoption of artificial intelligence (AI) in orthopaedic research has surged.
  • Clinicians may be unfamiliar with the specific strengths, weaknesses, and nuances of AI techniques.
  • Standardized reporting is crucial for understanding and applying AI-driven orthopaedic findings.

Purpose of the Study:

  • To establish best practices for reporting artificial intelligence (AI) in orthopaedic research.
  • To provide guidance for researchers and clinicians utilizing AI in the field.
  • To enhance the clarity, reproducibility, and interpretability of AI-based orthopaedic studies.

Main Methods:

  • Review and synthesis of current literature on AI in orthopaedics.
  • Identification of common challenges and pitfalls in reporting AI methodologies.
  • Development of a framework for best reporting practices.

Main Results:

  • Key considerations for reporting AI algorithms, data, and validation processes.
  • Recommendations for transparently documenting AI model development and performance.
  • Guidelines for discussing the clinical implications and limitations of AI tools.

Conclusions:

  • Adherence to standardized reporting practices is essential for the responsible integration of AI in orthopaedics.
  • Clear reporting facilitates critical appraisal and clinical adoption of AI innovations.
  • This framework aims to improve the quality and impact of AI research in orthopaedics.