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A Preliminary Study on Artificial Intelligence for Infant Motor Screening

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ClinicalTrials.gov Identifier: NCT04684173
Recruitment Status : Recruiting
First Posted : December 24, 2020
Last Update Posted : December 24, 2020
Sponsor:
Information provided by (Responsible Party):
National Taiwan University Hospital

Brief Summary:
The purpose of this preliminary study is to apply AI technology on a sample of infants aged 4 to 18 months to develop an action tracking and recognition algorithm for infant motor screening and to determine the accuracy of the captured movements during the Alberta Infant Motor Scale (AIMS) assessment using an experienced physical therapists' assessment results as the reference.

Condition or disease
Motor Disorders

Detailed Description:
Background and Purpose. Although there is an increase in the public awareness of early intervention for children with developmental disorder in Taiwan, the number of children reported for early intervention by the Ministry of Health and Welfare is limited, particularly for those aged under two years, outside of hospital settings, and in remote areas. This has highlighted the need of early screening for infants who are at risk or have developmental disorders. While motor development has a potential impact on the emergence of abilities in other domains in children at later age, motor screening may serve as the cornerstone to help detect signs of developmental dysfunction. Artificial Intelligence (AI), based on machine learning of big data, may be an alternative for assisting healthcare professionals to efficiently screen children's development and to help plan for further diagnostic assessment. The purpose of this preliminary study is to apply AI technology on a sample of infants aged 4 to 18 months to develop an action tracking and recognition algorithm for infant motor screening and to determine the accuracy of the captured movements during the Alberta Infant Motor Scale (AIMS) assessment using an experienced physical therapists' assessment results as the reference. Method. This study will recruit 50 infants (40 preterm infants and 10 term infants age 4-18 months (corrected age for preterm infants) from the National Taiwan University Children's Hospital. Each infant will be evaluated by a physical therapist for their gross motor development during prone, spine, sitting and standing positions using the AIMS assessment. The whole assessment procedure will be video recorded by five cameras. The data processing of movement video records will consist of selection of movement records, establishment of a pose estimation model, and establishment of an action recognition model. The accuracy of the pose and action recognition model in identifying infants' movements will be examined using the physical therapist's results as the gold standard. The results of this study will provide preliminary data to help establish the best and appropriate action recognition model of infant motor screening for future validation on a large sample.

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Study Type : Observational [Patient Registry]
Estimated Enrollment : 50 participants
Observational Model: Cohort
Time Perspective: Prospective
Target Follow-Up Duration: 14 Months
Official Title: A Preliminary Study on Artificial Intelligence for Infant Motor Screening
Actual Study Start Date : November 17, 2020
Estimated Primary Completion Date : December 31, 2021
Estimated Study Completion Date : December 31, 2021

Group/Cohort
Term infants
The inclusion criteria for term infants are: gestational age 37-42 weeks, birth weight >2,500 grams, and no congenital/genetic abnormalities. Their mothers are older than 20 years of age, have no history of alcohol or drug abuse, and are married or live with fathers.
Preterm infants
The inclusion criteria for preterm infants are: gestational age <37 weeks, birth weight <2,500 grams, and no congenital/genetic abnormalities. Their mothers are older than 20 years of age, have no history of alcohol or drug abuse, and are married or live with fathers.



Primary Outcome Measures :
  1. gross motor development [ Time Frame: 4-18 months of age ]
    motor function in supine, prone, sitting and standing position


Secondary Outcome Measures :
  1. age of walking attainment [ Time Frame: 10-18 months of age ]
    age of attaining independent walking for at least five steps



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Ages Eligible for Study:   4 Months to 18 Months   (Child)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   Yes
Sampling Method:   Probability Sample
Study Population
The inclusion criteria for preterm infants are: gestational age <37 weeks, birth weight <2,500 grams, and no congenital/genetic abnormalities. Their mothers are older than 20 years of age, have no history of alcohol or drug abuse, and are married or live with fathers.
Criteria

Inclusion Criteria:

  • The inclusion criteria for term infants are: gestational age 37-42 weeks, birth weight >2,500 grams, and no congenital/genetic abnormalities.
  • The inclusion criteria for preterm infants are: gestational age <37 weeks, birth weight <2,500 grams, and no congenital/genetic abnormalities.
  • Their mothers are older than 20 years of age, have no history of alcohol or drug abuse, and are married or live with fathers.

Exclusion Criteria:

  • No

Information from the National Library of Medicine

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.

Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT04684173


Contacts
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Contact: Suh-Fang Jeng, Professor 886-2-33668132 jeng@ntu.edu.tw

Locations
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Taiwan
School and Graduate Institute of Physical Therapy, National Taiwan University Recruiting
Taipei, Taiwan, 100
Contact: Suh-Fang Jeng, Professor    886-2-33668132    jeng@ntu.edu.tw   
Sponsors and Collaborators
National Taiwan University Hospital
Investigators
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Principal Investigator: Suh-Fang Jeng, Professor School and Graduate Institute of Physical Therapy, National Taiwan University
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Responsible Party: National Taiwan University Hospital
ClinicalTrials.gov Identifier: NCT04684173    
Other Study ID Numbers: 202010031RINB
First Posted: December 24, 2020    Key Record Dates
Last Update Posted: December 24, 2020
Last Verified: November 2020

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Studies a U.S. FDA-regulated Drug Product: No
Studies a U.S. FDA-regulated Device Product: No
Keywords provided by National Taiwan University Hospital:
Artificial intelligence, infant, motor screening
Additional relevant MeSH terms:
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Motor Disorders
Mental Disorders