AI and the Future of Pediatric Health Care
Expert Insights
Hear from the experts in the industry and gain crucial insights into the implementation of artificial intelligence and its implications for children's hospitals and child health.
5 Benchmarks for Evaluating AI Tools
These guidelines help children’s hospitals and school systems make informed decisions when adopting AI solutions that address youth mental health.
5 Tips for Effective AI Prompts
An AI engineer gives advice for getting the most out of chatbots.
CLABSI Reduction: A Tale of Two Proactive Approaches
Children’s Mercy Kansas City and Norton Children’s Hospital will share their approaches to proactive CLABSI reduction through AI predictions and culture change.
AI in Action
See how children's hospitals and health systems are already using artificial intelligence and machine learning to support their workforce and better care for patients.
Making AI Actionable in the NICU
A lab-developed prediction model surprised clinicians and reduced costs.
How AI Is Reshaping Pediatric Imaging
New technology shortens MRI exams from 60 to 10 minutes and dramatically enhances image quality.
Can AI Predict Sepsis in Children?
A new multicenter study tackles one of emergency medicine’s hardest diagnostic problems.
How a Children’s Hospital Reduced LWBS by 70%
A machine learning intervention ensures the highest-acuity patients receive emergency care quickly.
Improving Pediatric Heart Transplantation With Artificial Intelligence
An open-source machine learning technique could reduce waitlist mortality rates and unused donor organs.
Uncovering Patient Safety Trends with AI
ChatGPT helps Stanford Medicine Children’s Health identify key safety risks in less time and with greater accuracy.
