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Using Artificial Intelligence to Screen for Hip Dysplasia

The goal of this clinical trial is to learn if an ultrasound scan using artificial intelligence can accurately screen for hip dysplasia. Researchers will compare the artificial intelligence ultrasound results to the standard ultrasound measures to see if the artificial intelligence ultrasound scan can accurately screen

Condition(s)Developmental Dysplasia of Hip
StatusRecruiting
PhaseNA
Study typeInterventional
SummaryThe goal of this clinical trial is to learn if an ultrasound scan using artificial intelligence can accurately screen for hip dysplasia. Researchers will compare the artificial intelligence ultrasound results to the standard ultrasound measures to see if the artificial intelligence ultrasound scan can accurately screen for hip dysplasia. It will also seek to understand how parents feel about their children undergoing this scan. Participants will: * Have an additional ultrasound performed on their child at their scheduled outpatient's appointment for hip dysplasia * Complete a short questionnaire about the experience of having the measurement performed on their child
Who can participateInclusion Criteria: * Enrolled in the VicHip study * Is 4-20 weeks of age at enrolment * Is attending The Royal Children's Hospital for the purpose of the potential diagnosis of DDH * Has a diagnostic (standard) hip ultrasound on the day of their out-patient appointment * Has a legally acceptable representative capable of understanding the informed consent document and providing consent on the participant's behalf. Exclusion Criteria: Participants will be excluded from enrolment if: • They are currently receiving treatment for DDH
Ages4 Weeks to 20 Weeks
SexAll
Accepts healthy volunteersYes
Lead sponsorMurdoch Childrens Research Institute
LocationsParkville, Victoria, Australia
Start date2024-12-06
NCT IDNCT06647225
Official listinghttps://clinicaltrials.gov/study/NCT06647225

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