Machine Learning

Enhancing Intestinal Rehabilitation Workflow with Disease-Specific Documentation Tools
Enhancing Intestinal Rehabilitation Workflow with Disease-Specific Documentation Tools 150 150 Erin Gregory

Structured data entry not only reduces the amount of time physicians are spending in the electronic health record but also opens the door for new research. A recent study published in JAMA Pediatrics by Nationwide Children’s Hospital’s Ethan Mezoff, MD, Jennifer Lee, MD, and team has shed light on a promising solution to improve the…

Using Machine Learning to Classify Treatment Approaches for Infants with Bronchopulmonary Dysplasia
Using Machine Learning to Classify Treatment Approaches for Infants with Bronchopulmonary Dysplasia 1024 683 Pam Georgiana

We don’t yet know the best way to help infants with severe bronchopulmonary dysplasia (BPD) breathe using ventilators. Currently, doctors across the country and around the world use a variety of different approaches.  These variations depend on the severity of a patient’s medical condition, the ventilator settings used, and location-specific standards. Matthew Kielt, MD, a…

Beyond the Wow Factor: Artificial Intelligence in Pediatrics
Beyond the Wow Factor: Artificial Intelligence in Pediatrics 1024 576 Katie Brind'Amour, PhD, MS, CHES

What promise do AI and machine learning hold for pediatrics, and how can their potential flourish while still safeguarding children’s health and privacy? Machine learning (ML) and artificial intelligence (AI) have exploded across the worlds of marketing and commerce in recent years. Streaming services track what you watch and suggest other content you may enjoy.…

Using Machine Learning in the Electronic Medical Record to Save Lives
Using Machine Learning in the Electronic Medical Record to Save Lives 1024 683 Abbie Miller
physicians in white coats looking at a tablet

The deterioration risk index identifies patients at risk for deterioration and poor outcomes, triggering the care team to act before a crisis happens. In a report published in Pediatric Critical Care Medicine, a team from Nationwide Children’s Hospital describes a machine learning tool for timely identification of hospitalized children at risk for deterioration – a…