Trials / Not Yet Recruiting
Not Yet RecruitingNCT07064356
AI-Powered Neonatal Risk Assessment for Improved Perinatal Outcomes
- Status
- Not Yet Recruiting
- Phase
- —
- Study type
- Observational
- Enrollment
- 50,000 (estimated)
- Sponsor
- FetalFirst Limited · Industry
- Sex
- All
- Age
- 1 Year – 1 Year
- Healthy volunteers
- Accepted
Summary
This study aims to develop advanced artificial intelligence (AI) models that predict neonatal risks and complications based on historical multimodal health data, including ultrasound and MRI scans. The objective is to empower clinicians and provide clear, compassionate support for families navigating complex prenatal diagnoses.
Detailed description
The FetalFirst study employs observational, retrospective analysis utilizing DenseNet121 neural networks. It analyzes de-identified retrospective data comprising ultrasound images, MRI scans, and clinical documentation from existing medical records. This research has received ethical approval from Wales Research Ethics Committee (REC ref: 25/WA/0168, IRAS ID: 358793). Outcomes from this study are expected to significantly enhance clinical intervention strategies, offering healthcare professionals robust tools for earlier detection and improved management of congenital anomalies and neonatal risks. Additionally, the insights gained will provide critical support to parents facing high-risk pregnancies, assisting them in making informed decisions.
Conditions
- Congenital Anomalies
- Neonatal Complications
- Perinatal Outcomes
- Perinatal Outcomes of the Mother and Fetus
Timeline
- Start date
- 2025-07-01
- Primary completion
- 2026-06-01
- Completion
- 2026-06-01
- First posted
- 2025-07-14
- Last updated
- 2025-07-14
Source: ClinicalTrials.gov record NCT07064356. Inclusion in this directory is not an endorsement.