AI Risk Prediction and Decision Support System (AI-TRiPS) for Trauma Care with Zane Perkins

In this episode of the Pre-Hospital Care Podcast, we explore the
rapidly evolving role of artificial intelligence in trauma care,
focusing on the AI Risk Prediction and Decision Support System
(AI-TRiPS)—a cutting-edge AI tool designed to enhance
decision-making in high-pressure trauma settings.


AI-TRiPS is built on Bayesian networks for clinical decision
support, bridging the gap between AI development and real-world
application. But how do we ensure AI tools are accurate, usable,
and trusted by frontline clinicians? We cover:


How AI-TRiPS is being trialled in London’s Major Trauma Centres
& Air Ambulance Services


The impact of AI-TRiPS on clinician performance and cognitive
load in trauma care


Can AI-driven decision support improve outcomes in stroke,
sepsis, and cardiac arrest?


The challenges of integrating AI into pre-hospital care and the
resuscitation bay


Join us as we discuss the potential of AI to revolutionise trauma
care and what this means for the future of pre-hospital medicine.
You can read more about AI-TRiPS here:
https://www.londonsairambulance.org.uk/news-and-stories/charity-news/bold-step-forward-our-patients-new-ai-study