CompletedNot Applicable

Diagnostic Efficacy Study of AI System in Screening Infants With Developmental Dysplasia of the Hip

China1,789 participantsStarted 2025-07-18

Plain-language summary

To ascertain the efficacy of the DeepDDH system, a deep learning framework, in enhancing diagnostic accuracy and curtailing follow-up intervals for infants undergoing screening for developmental dysplasia of the hip (DDH), the researchers are executing a blinded, randomized controlled trial. This trial juxtaposes AI-only and AI-assisted assessments of DDH against sonographer interpretations across various proficiency levels in the preliminary analysis of ultrasound images.

Who can participate

Age range28 Days – 6 Months

SexALL

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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.

Inclusion Criteria: * Infants underwent DDH ultrasound examinations. * Infants aged 28 days to 6 months. Exclusion Criteria: * Infants with lacking or incomplete ultrasound images. * Infants with poor image quality, including non-compliance with anatomical identification and usability check. * Infants with hip dysplasia caused by other diseases.

What they're measuring

Average diagnostic accuracy

Timeframe: up to 4 weeks

Trial details

NCT IDNCT06803004

SponsorRenJi Hospital

Sponsor typeOTHER

Study typeINTERVENTIONAL

Primary completion2025-08-01

View on ClinicalTrials.gov More Hip Dysplasia, Developmental trials