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

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