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Health·G Space·Evidence-backed gain·Published 2026-09-03

Methodological Reporting Quality of Artificial Intelligence-Based Orthopedic Studies: A Literature Analysis

Abstract: Objective We set out to examine how completely artificial intelligence (AI)-based orthopedic studies report their methods. Methods A PubMed search covering 2023-2025 was run with a predefined strategy. Screening of titles, abstracts and full texts left 280 eligible papers, and 200 of these were drawn at random for scoring. Each paper was rated against a six-item framework built from the TRIPOD-AI, STARD-AI and CONSORT-AI guidelines. Results Mean score across the 200 studies was 4.8±0.9. Twenty-eight percent reac…

TRV-2026-0967Peer-reviewedPermanent record — cite & verify
Methodological Reporting Quality of Artificial Intelligence-Based Orthopedic Studies: A Literature Analysis

Walter reed Physical therapy 1920 by Unknown author Unknown author. Public domain

The quick read

Objective We set out to examine how completely artificial intelligence (AI)-based orthopedic studies report their methods. Methods A PubMed search covering 2023-2025 was run with a predefined strategy.

Each paper was rated against a six-item framework built from the TRIPOD-AI, STARD-AI and CONSORT-AI guidelines. Twenty-eight percent reached 6/6, 37% scored 5/6 and 23% scored 4/6; the remaining 12% scored 3 or below.

Main points
  • Objective We set out to examine how completely artificial intelligence (AI)-based orthopedic studies report their methods.
  • Methods A PubMed search covering 2023-2025 was run with a predefined strategy.
  • Screening of titles, abstracts and full texts left 280 eligible papers, and 200 of these were drawn at random for scoring.
Gain

Methodological Reporting Quality of Artificial Intelligence-Based Orthopedic Studies: A Literature Analysis: Work in this area would benefit from closer attention to generalizability, clinical relevance and the existing reporting guidelines.

The rundown

Screening of titles, abstracts and full texts left 280 eligible papers, and 200 of these were drawn at random for scoring. Each paper was rated against a six-item framework built from the TRIPOD-AI, STARD-AI and CONSORT-AI guidelines.

Sources

Reader signal

How should this claim be treated?

The debate