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Updated: Apr 9, 2026

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Standardised Transparent Orthopaedic Reporting and Modelling for AI (STORM-AI)-Guidelines for reporting artificial

Felix C Oettl1, Bálint Zsidai2,3, Yinan Yu4

  • 1Department of Orthopedic Surgery Balgrist University Hospital, University of Zürich Zurich Switzerland.

Journal of Experimental Orthopaedics
|April 8, 2026
PubMed

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Summary

New STORM-AI guidelines improve reporting for artificial intelligence (AI) in orthopaedics. These standards enhance transparency and reproducibility for AI applications in orthopaedic research and clinical translation.

Area of Science:

  • Orthopaedic Surgery
  • Medical Artificial Intelligence
  • Biomedical Informatics

Background:

  • Rapid advancement of Artificial Intelligence (AI) in orthopaedic research presents challenges in consistent study reporting.
  • Inconsistent reporting hinders the evaluation and clinical translation of AI-driven orthopaedic innovations.
  • Need for standardized reporting to ensure quality and transparency in AI orthopaedic studies.

Purpose of the Study:

  • To develop the Standardised Transparent Orthopaedic Reporting and Modelling-AI (STORM-AI) guidelines.
  • To enhance the transparency, completeness, and quality of reporting for AI studies in orthopaedics.
  • To provide a framework for reproducible and clinically valuable AI research in orthopaedics.

Main Methods:

  • Development of the STORM-AI guidelines by the ESSKA AI Working Group, a multinational and multidisciplinary expert team.
Keywords:
artificial intelligenceguidelinesmachine learningorthopaedicsreporting standards

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  • Utilized a multi-step consensus process including comprehensive review of existing AI reporting standards (CONSORT-AI, STARD-AI, TRIPOD).
  • Iterative drafting, review, and refinement incorporated orthopaedic-specific considerations for AI reporting.

    • Main Results:

    • The consensus process yielded the STORM-AI checklist and an Explanation and Elaboration (E&E) document.
    • Guidelines offer specific recommendations for study design, data, model development, performance, ethics, and clinical integration.
    • Emphasis placed on rigorous validation, clear outcome definition, and error analysis in orthopaedic AI studies.

    Conclusions:

    • STORM-AI guidelines offer a vital framework for authors, reviewers, and journals to improve AI evidence in orthopaedic care.
    • Widespread adoption is expected to foster robust, reproducible, and clinically valuable orthopaedic AI innovations.
    • Facilitates the responsible integration of AI technologies into the field of orthopaedics.