Content related to Using Machine Learning to Make Ventilator Support Safer for Children

Children’s Hospital Los Angeles researchers seek better strategies to mesh ventilator rhythm with patient breathing in the pediatric intensive care unit.

Dr. Vedrenne-Cloquet’s research aims to identify and characterize novel respiratory subphenotypes in ventilated children with acute respiratory failure.

Poster session finalists were voted on by a scientific committee and presented key takeaways from their research during Science Day 2024.

CHLA researchers and PECARN collaborators develop algorithm that identifies children with cervical spinal injuries to dramatically lower unnecessary CT scans in the emergency department.

The grant enables scientists to advance an AI-driven clinical decision support technology that will transform how doctors plan brain radiation therapy.

Using new tools, a Children’s Hospital Los Angeles team is assessing risk for cerebral palsy in infants as young as 3 months.

The ambitions of pediatric researchers are global in scale: Beyond patients at their own hospital, they look to shape national and international standards for pediatric care.