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Role of Advanced Imaging of Fertilized Eggs to study Pregnancy

Role of Embryo Image Analysis in Predicting ART Outcome using Machine Learning

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2022/02/040654
Enrollment
50
Registered
2022-02-28
Start date
Unknown
Completion date
Unknown
Last updated
2022-04-04

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

Conditions

Health Condition 1: N399- Disorder of urinary system, unspecified

Interventions

None listed

Sponsors

Manipal Academy of Higher Education Manipal
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: Male - Infertile Males with age more than 22 years and less than 50 years Female - Infertile Females with age more than 22 years and less than 35 years

Exclusion criteria

Exclusion criteria: Male - Infertile Males with age less than 22 years and more than 50 years Female - Infertile Females with age less than 22 years and more than 35 years

Design outcomes

Primary

MeasureTime frame
This study will help us predict the developmental and implantation potential of embryos by using embryo image analysisTimepoint: 1 year

Secondary

MeasureTime frame
This study will help us predict the developmental and implantation potential of embryos by utilizing machine learning algorithms to perform embryo image analysisTimepoint: 1 year

Countries

India

Contacts

Public ContactDr Shubhashree Uppangala

Kasturba Medical College, Manipal

shubha.u@manipal.edu9480009731

Outcome results

None listed

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