AI-Powered pulse check could spot hidden heart defects in newborns
NCT ID NCT05637814
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study tests whether a machine learning algorithm can better detect critical congenital heart disease (CCHD) in newborns by combining standard oxygen saturation measurements with perfusion index data. Researchers will enroll up to 320 infants, including those with suspected or confirmed heart conditions and healthy babies. The goal is to see if the AI approach improves screening accuracy compared to current methods.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
Active substance
SpO2/PIx measurement and ML algorithm
What this could lead to
If successful, this could make newborn screening for critical heart defects more accurate, catching more cases early and reducing missed diagnoses.
What could go wrong
This is a validation study, not a treatment trial. The algorithm may not perform better than current screening methods, and results may not apply to all hospitals or populations.
Disclaimer
Read more
Show less
This is a summary of
the original study
.
Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
Get updates
Get notified about this study
Sign up to get updates when this study changes or when new studies for CONGENITAL HEART DISEASE are added.
By submitting, you agree to our Terms of use
Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Show contact details
Enter your email to view the contact information for this study.
By submitting, you agree to our Terms of use
Study contacts
-
Contact
Phone: •••-•••-•••• Email: •••••@•••••
-
Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
-
Cohen Children's Medical Center
NOT_YET_RECRUITINGQueens, New York, 11040, United States
Contact Email: •••••@•••••
Contact
-
UC Davis Medical Center
RECRUITINGDavis, California, 95616, United States
Contact Email: •••••@•••••
Contact
-
University of Utah Health Care
NOT_YET_RECRUITINGSalt Lake City, Utah, 84102, United States
Contact Email: •••••@•••••
Contact