Iron Deficiency
Conditions
Keywords
Algorithm, Artificial Intelligence, Iron Deficiency, IDA, Anemia
Brief summary
An exploratory study to collect data to build artificial intelligence derived algorithms for estimating iron status in children
Detailed description
This is an exploratory, observational, pilot study that aims to build and measure the accuracy of an algorithm that estimates a child's iron status using images and/or videos, against gold standard venous blood sampling. Images and/or videos will be collected by healthcare professionals, together with blood test results. This data will be used to evaluate the accuracy of the algorithm and to explore potential improvements. Data on the acceptance and experience of the using the algorithm will be collected for improvements.
Interventions
OTHERGold standard blood test
Blood test will measure haemoglobin and other parameters
Images and videos of anatomical sites will be collected for AI to estimate iron status
Sponsors
Danone Asia Pacific Holdings Pte, Ltd.
KK Women's and Children's Hospital
Srinagarind Hospital, Khon Kaen University
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
6 Months to 72 Months
Healthy volunteers
Yes
Inclusion criteria
1. Children above 6 months of age and below 6 years of age 2. Written consent from parent(s) or legally acceptable representative(s), who themselves are aged ≥ 21 years old, to consent and comply with the terms and conditions of the study 3. Parent(s) should have access to the internet and a smartphone or tablet to complete study questionnaires 4. Parent(s) should be able to comprehend the content of the study and complete the study questionnaires 5. Parents(s) must be comfortable with their child having blood draws 6. Subject has a Hb level corresponding to a Hb group with open slots for participation
Exclusion criteria
1. Children with any medical condition that in the opinion of the investigator would not be suitable for enrolment. 2. Children with nail bed obstructions, nail polish, nails discolouration (e.g., leukonychia, melanonychia, bruising, etc.), or scarring of the lips, pigmentations on lips for thyroid dysfunction (e.g., Puettz-jeghers syndrome). 3. Children who are unable to cooperate with study procedures. 4. Employees and/or children/family members or relatives of employees of Danone Global Research \& Innovation Center or the participating sites.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Accuracy of the Iron AI in a clinic setting | 1 day | Accuracy of the Iron Ai in a clinic setting, derived from: 1. The Iron AI prediction from images/videos collected 2. The gold standard blood test results |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Parental acceptability of the Iron AI | 1 day | Parental acceptability of the Iron AI assessed via the study questionnaire \[Accuracy, Usefulness, Frequency of usage, Data sharing\] |
| Investigator's (or delegates) acceptability of Iron AI | 1 day | Investigators (or delegates) likelihood of using the Iron AI assessed via the study questionnaire \[Ease of taking images/videos, accuracy, frequency of use, recommendation to parents\] |
Countries
Singapore, Thailand
Contacts
PRINCIPAL_INVESTIGATORPoh Choo Dr Khoo
KK Women's and Children's Hospital
PRINCIPAL_INVESTIGATORAssoc.Prof. Suchaorn Saengnipanthkul
Srinagarind Hospital, Khon Kaen University, Khon Kaen
Outcome results
None listed