'Gaps between theory and the real world: Safety and the AI clinician' Dr Tom Lawton and Yan Jia

In 2018 the AI Clinician suggested that reinforcement learning might solve one of the most common dilemmas in the ICU treatment of sepsis. We discuss attempts to move closer to bringing its theoretical performance into real-world testing, and go on to discuss more general issues of collaborative working between the worlds of engineering and healthcare.

Speaker bios

Dr Tom Lawton is a consultant in Critical Care at Bradford Teaching Hospitals NHS Foundation Trust, as well as the head of Clinical Artificial Intelligence and Clinical Director of the Connected Bradford dataset. He remains an active coder, recently working more in R and Python than his former life in C and ARM assembler.

Yan Lia is doing a PhD in High Integrity System Engineering (HISE) group at University of York and their PhD project is to use machine learning to continuous and proactive reasoning about medication safety, which is funded by Bradford teaching hospitals and supported by assuring autonomy international project.