Perinatal Outcomes

2

Review clinical trials related to Perinatal Outcomes. Use filters to narrow results by trial status, phase, treatment, biological sex and sponsor.

Condition / disease
Location
Status: Recruiting

Rhode Island Community-based Maternal Support Services

The purpose of this project is to improve perinatal health outcomes in Rhode Island by bringing together the hospital, community health workers (CHWs), doulas, and community-based organizations to build a service delivery model that addresses care coordination and social determinants of health (SDOH) as a part of a concerted effort towards achieving equitable perinatal health outcomes. Over 4 years, the hospital-led project team will implement the community-based maternal support services (COMSS) bundle in 6 affiliated clinics, including care coordination, doula care, and referrals and linkages to community-based organizations that address key SDOH (food, housing, transportation). Maternal and infant health outcomes will be compared pre and post program implementation. The central hypothesis is that COMSS will reduce adverse maternal and infant outcomes and associated racial disparities.

Participants needed: 3,000
Trial details
Biological sex: FemaleType: InterventionalSponsor: Women and Infants Hospital of Rhode IslandUpdated: Mar 3, 2026Locations: 7
Eligibility criteria

All birthing people receiving perinatal care (prenatal, postpartum) at Women and...

Anyone not meeting the above criteria

Status: Not yet recruiting

AI-Powered Neonatal Risk Assessment for Improved Perinatal Outcomes

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.

Participants needed: 50,000
Trial details
Age: 1-1Biological sex: AllType: ObservationalSponsor: FetalFirst LimitedUpdated: Jul 14, 2025
Eligibility criteria

Historical, de-identified neonatal records including ultrasound images, MRI scan...

Cases with incomplete or missing critical data elements required for AI model an...