Artificial intelligence helps guide breathing machines for children
Part of Lungs & breathing clinical trials.
This study tests whether artificial intelligence (AI) can help doctors set the breathing machine (ventilator) better for children in the intensive care unit. The goal is to find the best settings to help your child breathe more easily and recover faster.
Summary written for real people, not researchers, by Clin2.
Who can take part
- Your child must be between 1 month and 18 years old.
- Your child must be in the pediatric intensive care unit (PICU).
- Your child is currently on a breathing machine (ventilator) and will need it for at least 24 hours.
- A parent or guardian must sign a consent form before the study starts.
- Your child must not have a condition expected to cause death within 24 hours, severe irreversible brain injury, or severe heart or lung birth defects.
- Adolescent girls who could be pregnant must have a pregnancy test, and pregnant girls cannot join.
- Your child cannot be in another study that tests a different ventilation method.
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.
This trial tests a new way to adjust breathing machine settings for people with a lung condition called ARDS. The adjustments are based on detailed monitoring of the heart and lungs, aiming to improve recovery.
This trial tests if artificial intelligence (AI) can help doctors choose the best air pressure settings for people on breathing machines in the ICU. It aims to improve care for adults who need help breathing.
This study is testing an artificial intelligence system that helps doctors evaluate breathing problems in children. It uses a camera and clinical data to see if the AI can make accurate assessments in the emergency room.
This study uses artificial intelligence (AI) to help doctors predict whether ICU patients will need a breathing tube or, if already on a ventilator, whether they can be safely taken off it. The goal is to make these decisions more accurate and personalized.
This study is developing an artificial intelligence (AI) tool to help doctors choose the best treatment for people with sudden breathing failure. It compares patients who need breathing support to those who do not, to find patterns that improve care.
This study tests an artificial intelligence (AI) software that helps clinicians make care decisions for people who are on a breathing machine. It may help teams respond faster and more consistently when complex breathing support is needed.
Hear when a new Acute Respiratory Distress Syndrome trial opens
We’ll email you when one opens — at most once a week, no account needed, unsubscribe anytime.