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| Name | Class |
|---|---|
| KK Women's and Children's Hospital | OTHER_GOV |
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An exploratory study to explore the possibility of using computer vision algorithms to estimate a child's height using images taken by a healthcare professional or parents.
This is an exploratory, observation, data-collection study that aims to evaluate the performance of a Height Artificial Intelligence (HAI) algorithm in a real world setting. Images will be collected by parents or healthcare professionals, together with physical height measurements. This data will be used to evaluate the accuracy of the algorithm and to explore potential improvements. Data on the acceptance and experience of using the algorithm will be collected for improvements.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Children aged above 24 months old and below 6 years of age | Children aged above 24 months old and below 6 years of age with no structural abnormalities of the lower limbs or orthopaedic conditions |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Physical height measurement | Other | Physical height will be measured and images will be collected for AI to estimate the height |
|
| Measure | Description | Time Frame |
|---|---|---|
| Accuracy of the height AI (cm) | Accuracy of the Height AI (cm) in a clinic and in a home setting, derived from:
| 2 days |
| Measure | Description | Time Frame |
|---|---|---|
| Accuracy of the Weight AI (kg) | Accuracy of the Weight AI (kg) in a clinic and in a home setting, derived from:
| 2 days |
| Measure | Description | Time Frame |
|---|---|---|
| Assessments by the parent on usability of the AI in a home-setting via study questionnaire |
|
Inclusion Criteria:
Exclusion Criteria:
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Children aged above 24 months old and below 6 years of age with no physical deformities
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| Name | Affiliation | Role |
|---|---|---|
| Fabian Yap, MBBS | KK Women's and Children's Hospital | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| KK Women's and Children's Hospital | Singapore | Singapore |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 29777245 | Background | Yap F, Lee YS, Aw MMH. Growth Assessment and Monitoring during Childhood. Ann Acad Med Singap. 2018 Apr;47(4):149-155. | |
| 25462637 | Background | Schmidhuber J. Deep learning in neural networks: an overview. Neural Netw. 2015 Jan;61:85-117. doi: 10.1016/j.neunet.2014.09.003. Epub 2014 Oct 13. |
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| ID | Term |
|---|---|
| D006130 | Growth Disorders |
| ID | Term |
|---|---|
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
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| 2 days |
| Assessments by the investigator on usability of the AI in a clinic-setting via a questionnaire |
| 2 days |
| Assessments by the investigator on ease of collecting images in a clinic-setting via a questionnaire | Investigator's assessment on the ease of collecting the images [Very Easy, Easy, Normal, Difficult, Very Difficult] | 2 days |