Digital Dysmorphology Project
NCT02651493 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 750
Last updated 2023-02-01
Summary
In this study, the investigators propose a novel method to detect Down syndrome using photography for facial dysmorphology, a tool called computer-aided diagnosis (CAD). After validating the method, this technology will be expanded to perform similar functions to assist in the detection of other dysmorphic syndromes.
By using photography and image analysis this automated assessment tool would have the potential to improve the diagnosis rate and allow for remote, non-invasive diagnostic evaluation for dysmorphologists in a timely manner.
Conditions
- Down Syndrome
Interventions
- DEVICE
-
photographs
computer based program to analyze photographs (computer-aided diagnosis (CAD) software)
Sponsors & Collaborators
-
Children's National Research Institute
collaborator OTHER -
George Washington University
collaborator OTHER -
Chiang Mai University
collaborator OTHER -
Kevin Cleary
lead OTHER
Principal Investigators
-
Kevin Cleary, PhD · Children's National Research Institute
Study Design
- Allocation
- NON_RANDOMIZED
- Purpose
- HEALTH_SERVICES_RESEARCH
- Masking
- NONE
- Model
- PARALLEL
Eligibility
- Max Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2013-02-28
- Primary Completion
- 2023-12-31
- Completion
- 2023-12-31
Countries
- United States
Study Locations
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