Clin2
NCT07064356Possibly a fitNot yet recruiting

AI-powered newborn risk assessment for better outcomes

Congenital AnomaliesNeonatal ComplicationsPerinatal OutcomesPerinatal Outcomes of the Mother and Fetus

Part of Genetic & congenital clinical trials.

This trial uses artificial intelligence to review newborn medical records, including scans and clinical notes, to help predict and improve health outcomes. Participation may help refine AI tools for neonatal care.

Summary written for real people, not researchers, by Clin2.

Phase
N/A
Enrollment
50,000 people
Ages
1 year to 1 year
Study type
Observational

Who can take part

  • Your baby's medical records must be available for review
  • Records must include ultrasound images, MRI scans, or clinical documentation
  • No key information can be missing from the records

View the official record on ClinicalTrials.gov

Quick eligibility check

Answer a few plain-language questions, based on this study's own requirements, to get a preliminary sense of fit.

Similar studies

Other trials that look related to this one.

NCT07628829Recruiting
Video AI to Monitor Newborn Brain Health

This study uses artificial intelligence to watch and analyze videos of newborns in the hospital nursery or NICU to help doctors spot neurological problems early. The goal is to see if this video AI tool can safely and accurately help care for newborns during their hospital stay.

New York, New York
NCT07402668Recruiting
AI to help doctors predict preterm birth

This trial tests whether artificial intelligence (AI) helps doctors feel more confident when predicting preterm birth. You would use ultrasound images and get AI feedback to compare with standard care.

Aabenraa
NCT06796127Not yet recruiting
AI model for fetal heart disease screening

This study uses an artificial intelligence (AI) model to help doctors identify heart problems in unborn babies by analyzing fetal heart ultrasound images. It aims to improve early detection and diagnosis of congenital heart disease.

Beijing, Beijing Municipality
NCT07368504Not yet recruiting
Artificial intelligence for newborn metabolic screening

This study uses artificial intelligence (AI) to review newborn screening data for inherited metabolic diseases. It aims to improve early detection and help doctors identify at-risk babies sooner.

Hangzhou, Zhejiang
NCT07171086Not yet recruiting· Phase 4
AI-assisted ultrasound for pregnancy care in Ethiopia

This study tests whether an artificial intelligence (AI) tool that helps read ultrasound images during pregnancy check-ups can improve care for mothers and babies in Ethiopia. If you join, your ultrasound images may be reviewed by the AI to help detect potential problems early.

Debre Berhan, Amhara
NCT06675266Recruiting
AI for detecting fetal brain issues on ultrasound

This trial uses artificial intelligence to help find brain abnormalities in babies during a routine second-trimester ultrasound. It may improve how doctors spot problems early in pregnancy.

Rome

Hear when a new Congenital Anomalies trial opens

We’ll email you when one opens — at most once a week, no account needed, unsubscribe anytime.