Plain-English translation of NCT07697872 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
Researchers are building and testing a machine learning algorithm — a type of artificial intelligence — that can recognize signs of liver disease in newborns by looking at photos of their dirty diapers. The study will use photos from babies with known liver problems (collected from past medical records) and from babies being newly evaluated for liver disease, plus photos from healthy babies. The goal is to create a simple, non-invasive screening tool that parents can use at home.
Some newborns develop serious liver diseases like cholestasis and biliary atresia that need early detection and treatment to prevent permanent damage. Currently, these conditions may not be caught quickly enough. This study aims to develop an easy, affordable way for parents to help spot early warning signs using just a smartphone camera, which could lead to faster diagnosis and better outcomes.
You likely qualify if…
You likely don't qualify if…
If your baby is being investigated for possible liver disease, you would take photos of their dirty diapers at specific time points (around 2 weeks, 3 weeks, 4 weeks, 3 months, and 6 months of age) using your smartphone and share them with the research team. If your baby is in the healthy comparison group, you would provide one diaper photo. The research team will also review your baby's medical records. You may also be asked to share feedback about your experience with this screening method. The entire study takes place over several months.
AI-generated summary from trial data · Jul 14, 2026 · Not medical advice
United Kingdom