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Development of Motion Analysis Platform in Neonates Using Artificial Intelligence for Early Detection of Developmental Delay

Development of Motion Analysis Platform in Neonates Using Artificial Intelligence for Early Detection of Developmental Delay

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CRIS
Registry ID
KCT0007607
Enrollment
110
Registered
2022-08-05
Start date
2022-07-28
Completion date
Unknown
Last updated
2022-09-20

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Interventions

None listed

Sponsors

Asan Medical Center
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: - Newborns and infants under (correctional age) 3 months of age who are referred to the Department of Pediatric Rehabilitation Medicine - In case parental consent is obtained

Exclusion criteria

Exclusion criteria: - In case of cardiopulmonary instability (O2 supply, T-cannula, ECMO, Ventilator, etc. are being applied) - Restriction of limb movement (Splint, etc.) - When it is not possible to secure sufficient fields for artificial intelligence analysis of images due to factors such as anatomical abnormalities of the head and neck

Design outcomes

Primary

MeasureTime frame
Bayley Scales of Infant Development 2 (BSID-2);General movement assessment;Test of Infant Motor Performance Screening Items (TIMP-SI);Alberta infant motor scale, AIMS;Peabody Developmental Motor Scale (PDMS);Neonatal Oral-Motor Assessment Scale (NOMAS)—

Secondary

MeasureTime frame
Videofluoroscopic swallowing study (VFSS)—

Countries

Korea, Republic of

Contacts

Public ContactGa ram Hong

Asan Medical Center

eammsed@gmail.com+82-2-3010-0769

Outcome results

None listed

Source: CRIS (via WHO ICTRP) · Data processed: Feb 4, 2026