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TRV-2026-0967Version 1 · Certified

Written 2026-09-03 06:03:07 UTC · current record

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TRUVACE RECORD VERSION
record: TRV-2026-0967
version: 1
kind: certified
reason: Certified into the record
timestamp: 2026-09-03T06:03:07.416338Z
status: published
lens: g_space
sector: health
headline: Methodological Reporting Quality of Artificial Intelligence-Based Orthopedic Studies: A Literature Analysis
dek: 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…
gain_title: 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.
problem_title: (none)
trace_subject: (none)
gain_reading: 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.
gain_evidence: (none)
problem_reading: (none)
problem_evidence: (none)
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.
limitation: 
tag: Evidence-backed gain
key_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.
rundown: 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.
sources:
- peer_reviewed | Medeniyet Medical Journal | https://doi.org/10.4274/mmj.galenos.2026.42387 | 2026-09-02
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