Prediction of fetal distress by validating Artificial Intelligence based Software
Not Applicable
- Conditions
- Health Condition 1: O779- Labor and delivery complicated byfetal stress, unspecified
- Registration Number
- CTRI/2021/05/033674
- Lead Sponsor
- Janitri Innovations Pvt Ltd
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- ot Yet Recruiting
- Sex
- Not specified
- Target Recruitment
- 0
Inclusion Criteria
Singletonâ?? pregnancy with an estimated gestational age of more than 32 weeks.
Exclusion Criteria
Multiple pregnancies and Gestational age less than 32 weeks.â??
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method The prediction will help us in categorizing a patient with fetal distress, <br/ ><br>hereby helping the doctor in taking a faster-informed decision. <br/ ><br>Timepoint: 1 years
- Secondary Outcome Measures
Name Time Method The outcome will also be able to help in improving the accuracy of the predictive model . <br/ ><br>If the prediction is accurate, then FHR monitoring at remote places with <br/ ><br> trained birth attendants will also be possible. <br/ ><br> <br/ ><br>Timepoint: 1 years