Skip to content

Developing Artificial Intelligence Based solutions to predict preterm delivery and related adverse outcome to baby

DATA ACQUISITION STUDY FOR DEVELOPING AI (Artificial Intelligence) ALGORITHMS TO PREDICT PRETERM LABOR AND ADVERSE PERINATAL OUTCOME

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2021/12/038654
Enrollment
1500
Registered
2021-12-15
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

Health Condition 1: O429- Premature rupture of membranes, unspecified as to length of time between rupture and onset of labor

Interventions

Control Intervention1: NIL: NIL

Sponsors

Philips Research
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: 1.Adult ( >18 years) pregnant women (from 26th week of gestation), who have regular antenatal care at Department of OBG, KMC Manipal, willing and able to provide informed consent.

Exclusion criteria

Exclusion criteria: 1.Pregnant women aged 2.Women admitted to labour room/HDU/ICU due to obstetric/non-obstetric problem 3.Women in need of emergency management 4.Critical non-pregnancy related health issues (Road traffic accidents etc.) 5.Currently displaying COVID-19-related symptoms, namely fever, cough and/or difficulty breathing or having been positively tested as infected with COVID-19 in the past 14 days.

Design outcomes

Primary

MeasureTime frame
Primary outcome that the study intends to predict is preterm labour, delivery and the related adverse perinatal outcome. Using the acquired data from relevant clinical details, lab and imaging data, as well as regularly performed NSTs ââ?¬â?? It is intended to develop a predictive AI model in order to predict the occurrence of preterm labour, delivery and the related adverse perinatal outcome. Study aims to develop as well as test the accuracy of such a predictive AI model in terms of sensitivity, specificity, positive and negative predictive value.Timepoint: 3 years

Secondary

MeasureTime frame
NILTimepoint: NIL

Countries

India

Contacts

Public ContactAkhila Vasudeva

Kasturba Medical College, Manipal, MAHE

akhila.vasudeva@manipal.edu9591614792

Outcome results

None listed

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