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Improving Neonatal Hip Screening With Artificial Intelligence

NCT07794644 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 100

Last updated 2026-08-31

No results posted yet for this study

Summary

The goal of this trial is to pilot a portable ultrasound device that uses artificial intelligence to screen for hip dysplasia. Researchers will gather data to understand the feasibility of performing a larger trial in birthing hospitals. It will also seek to collect initial data on how well the scan compares to the standard hip screening performed soon after birth.

Participants will:

* Have the portable ultrasound performed on their baby before they are discharged from hospital
* Have a diagnostic ultrasound performed on their baby at 6-weeks of age
* Complete a short questionnaire about the experience of having the measurement performed on their baby

Conditions

  • Developmental Dysplasia of Hip

Interventions

DEVICE

Artificial intelligence augmented ultrasound

The hip ultrasound is performed using a handheld device (Exo Iris) that is a pocket-sized ultrasound probe and is run through an application on an IoS (Apple mobile) operation system. A real-time algorithm detects and records the anatomical landmarks.

Sponsors & Collaborators

  • Monash Health

    collaborator OTHER

  • University of Alberta

    collaborator OTHER

  • Murdoch Childrens Research Institute

    lead OTHER

Principal Investigators

  • Brian Loh, MBBS BBiomedSc FRACS FAOrthoA · Murdoch Children's Research Institute & Monash Health

Study Design

Allocation
NA
Purpose
SCREENING
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-08-31
Primary Completion
2027-02-28
Completion
2027-03-31
FDA Device
Yes

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07794644 on ClinicalTrials.gov