Efficacy Study of DeepDDH System in Screening Infants with Developmental Dysplasia of the Hip (DDH)
NCT06765525 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 1976
Last updated 2025-01-09
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.
Conditions
- Hip Dysplasia, Developmental
Interventions
- OTHER
-
Junior sonographer measurement of DDH
Participants will not receive visual cues from the DeepDDH system. Junior sonographer technicians will offer preliminary interpretations before these are subjected to validation and subsequent review by expert's team.
- OTHER
-
Senior sonographer measurement of DDH
Participants will not receive visual cues from the DeepDDH system.
- OTHER
-
Automated annotation of the DDH measurement through deep learning
Through randomization, a subset of the preliminary interpretations will be conducted by AI technology, and the study team will evaluate the degree of divergence between these AI-generated preliminary interpretations and the final interpretations.
- OTHER
-
AI-assisted junior sonographer meaturement of DDH
Participants will receive visual cues from the DeepDDH system.
Sponsors & Collaborators
-
RenJi Hospital
lead OTHER
Study Design
- Allocation
- RANDOMIZED
- Purpose
- DIAGNOSTIC
- Masking
- DOUBLE
- Model
- PARALLEL
Eligibility
- Min Age
- 28 Days
- Max Age
- 6 Months
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2025-01-15
- Primary Completion
- 2025-03-30
- Completion
- 2025-04-30
Countries
- China
Study Locations
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