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Artificial Intelligence for Detection of MicroNutrient Deficiencies

Artificial Intelligence for Detection of MicroNutrient Deficiencies (AIDMiND) : A Collaborative Observational Study - AIDMiND

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2022/04/042195
Enrollment
2000
Registered
2022-04-27
Start date
Unknown
Completion date
Unknown
Last updated
2022-10-17

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

Lata Medical Research Foundation Intramural
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: 1. For the group of preschool or underfive children: a. Children 9 months or older AND (either b. Informed consent given by both parents 2. For the group of school children: a. Children aged 6-11 years b. Residing in goitre endemic areas c. Informed consent by parents d. Assent by the participating child 3. For the group of pregnant women: a. Pregnant women registered at the study center b. Informed written consent

Exclusion criteria

Exclusion criteria: Those do not consent

Design outcomes

Primary

MeasureTime frame
To detect three candidate nutritional deficiencies noninvasively and simultaneously ââ?¬â?? anemia, VAD and hypothyroidismTimepoint: At Baseline—

Secondary

MeasureTime frame
To make predictions that will be validated using respective serum assays to diagnose the three nutritional deficienciesTimepoint: After blood samples are analysed at Baseline—

Countries

India

Contacts

Public ContactHemant Kulkarni

Lata Medical Research Foundation

hemant_kulkarnius@yahoo.com

Outcome results

None listed

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