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Role of artificial intelligence in decision-making and improving pregnancy outcomes in patients going for In-Vitro Fertilisation(IVF) cycle

Augmented intelligent clinical support systems to aid decision-making for pregnancy outcomes after In-Vitro Fertilisation or Intracytoplasmic sperm injection - NIL

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2025/12/099950
Enrollment
8000
Registered
2025-12-29
Start date
Unknown
Completion date
Unknown
Last updated
2026-01-12

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

Conditions

Health Condition 1: N979- Female infertility, unspecified

Interventions

Intervention1: Nil: Nil Intervention2: Nil: Nil Intervention3: Nil: Nil

Sponsors

Indian Council of Medical Research
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: 1. All women who underwent IVF cycle in past 12 years and within subsequent 2 years after approval of the project 2. Complete follow up available till live birth or until the last complete cycle.

Exclusion criteria

Exclusion criteria: 1. Patients with incomplete data records

Design outcomes

Primary

MeasureTime frame
Development of interoperable common data modelTimepoint: 12 months—

Secondary

MeasureTime frame
1. Number of visits per patient 2. Time duration from decision of IVF to initiation of ovarian stimulationTimepoint: Baseline, 6 months, 12 months—

Countries

India

Contacts

Public ContactDr Neena Malhotra

All India Institute of Medical Sciences, New Delhi

malhotraneena@yahoo.com9891557707

Outcome results

None listed

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