ClintixBlog
AI is no longer coming to critical care. It’s already here.
In resus, in the ambulance, at the bedside—algorithms are beginning to influence decisions once made only by humans. They predict deterioration, prioritise patients, suggest diagnoses. Sometimes they outperform clinicians. More often, they reshape the flow of work in quiet, invisible ways.
This series is about what happens next.
It explores the promise: faster triage, earlier recognition, more consistent care. And the risks: bias baked into code, loss of nuance, the temptation to stop asking "why?"
AI won't replace emergency or critical care clinicians. But it will change how we think, how we decide, and how we care. The challenge is not whether to use AI—but how to do so without losing what matters most.

AI in Healthcare: A Clinician's Imperative
Clinician-led AI adoption is not just a strategy—it is an imperative for modern healthcare. In this piece, Dr Bassam Nuseibeh explores how practical leadership, strong governance, and frontline collaboration can turn AI from a risk into a foundation for better patient care and operational resilience.