AI as a co-pilot in critical care
Prof. Geert Meyfroidt on how AI can support clinical decision-making in intensive care, where data, time pressure and human responsibility meet.
In intensive care, every decision matters. Patients generate huge amounts of data. Vital signs, lab results, medication, monitoring systems and clinical observations all move at once. Care teams need to interpret that information under pressure, often with limited time and high responsibility.
For Prof. Geert Meyfroidt, AI can help in that reality, as a true co-pilot in critical care.
AI can support clinicians by analysing complex patient data, detecting patterns and warning signals, and helping care teams decide when a patient may need closer attention. It can act as an extra layer of vigilance in an environment where speed and precision matter.
But the clinician remains responsible. Clinical judgement is built on training, experience, teamwork and accountability. Clinicians do not blindly trust AI. They use it as one more tool to support better decisions for patients.