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Prediction of fetal distress by validating Artificial Intelligence based Software

Validation of Artificial Intelligence based Software in prediction of fetal distress

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2021/05/033674
Enrollment
150
Registered
2021-05-18
Start date
Unknown
Completion date
Unknown
Last updated
2021-11-24

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

Conditions

Health Condition 1: O779- Labor and delivery complicated byfetal stress, unspecified

Interventions

None listed

Sponsors

Janitri Innovations Pvt Ltd
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: Singletonâ?? pregnancy with an estimated gestational age of more than 32 weeks.

Exclusion criteria

Exclusion criteria: Multiple pregnancies and Gestational age less than 32 weeks.â??

Design outcomes

Primary

MeasureTime frame
The prediction will help us in categorizing a patient with fetal distress, hereby helping the doctor in taking a faster-informed decision. Timepoint: 1 years—

Secondary

MeasureTime frame
The outcome will also be able to help in improving the accuracy of the predictive model . If the prediction is accurate, then FHR monitoring at remote places with trained birth attendants will also be possible. Timepoint: 1 years—

Countries

India

Contacts

Public ContactArun Agarwal

Janitri Innovations Pvt. Ltd.

arun@janitri.in9952279155

Outcome results

None listed

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