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Non touch Device to detect jaundice in newborns

Bilirubin estimation among the neonates using AI based Machine Learning Techniques.

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2024/08/071897
Enrollment
200
Registered
2024-08-05
Start date
Unknown
Completion date
Unknown
Last updated
2024-08-19

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

Conditions

Health Condition 1: R50-R69- General symptoms and signs

Interventions

Control Intervention1: Nil: NIL

Sponsors

MIDAS DST MAHE HUB
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: normal neonates Hyperbilirubinemia Neonates

Exclusion criteria

Exclusion criteria: Sick neonates neonates on Phototherapy babies whom Serum bilirubin was not estimated

Design outcomes

Primary

MeasureTime frame
Non-invasive point-of-care device for bilirubin estimation Timepoint: at bedside once a day—

Secondary

MeasureTime frame
A low-cost device for detection of Jaundice in neonatesTimepoint: with in 2 years—

Countries

India

Contacts

Public ContactDr Sanjeev Rai

St Aloysius (DEEMED TO BE UNIVERSITY)

ruban@staloysius.ac.in9741965134

Outcome results

None listed

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