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Using Artificial Intelligence to Screen for Hip Dysplasia

NCT06647225 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 240

Last updated 2026-04-08

No results posted yet for this study

Summary

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 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

Conditions

  • Developmental Dysplasia of Hip

Interventions

DEVICE

Artificial intelligence augmented ultrasound

The hip ultrasound is performed using a handheld device (Exo Iris) that uses 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. When there are enough images for analysis the operator is notified that the scan is complete.

Sponsors & Collaborators

  • Murdoch Childrens Research Institute

    lead OTHER

Principal Investigators

  • Leo T Donnan · Murdoch Childrens Research Institute

Study Design

Allocation
NA
Purpose
SCREENING
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
4 Weeks
Max Age
20 Weeks
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2024-12-06
Primary Completion
2026-11-30
Completion
2026-11-30
FDA Device
Yes

Countries

  • Australia

Study Locations

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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 NCT06647225 on ClinicalTrials.gov