UnknownNANCT07121283

Comparison of the Difference in Bone Age Readings Among Radiologists Using Artificial Intelligence

Sponsor: Cheng-Hsin General Hospital

Trial Details

Condition	Bone Age
Intervention	True AI; Fake AI
Phase	NA
Status	Unknown
Participants	8
Est. Completion	18 Feb 2026
Last Updated	17 Apr 2026

Primary Outcome

Difference of Skeletal Age Estimate

Eligibility Criteria

Inclusion Criteria

Inclusion Criteria: * Exams read by radiologists who interpret pediatric skeletal age exams and verbally consent to participate Exclusion Criteria: * Exams containing more than one radiograph will not be included. No further exclusion criteria will be applied on the basis of image quality metrics or manufacturers

Trial Sites

Countries

Taiwan

View Registry Entry

Related Analysis

Radiologist Performance Study: AI-Assisted Bone Age Assessment Accuracy — Implications for Paediatric Practice

New study examines whether AI tools genuinely improve radiologist accuracy in paediatric bone age assessment or if perceived benefits stem from placebo effects. Results could guide evidence-based AI implementation in radiology departments.

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