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Episode 15: We don't need better models, we need smarter systems (with Geert Meyfroidt)
In this episode of The Digital Twin Theory podcast we reached out to Prof. Geert Meyfroidt, head of the department of intensive care medicine at the University Hospital of Leuven to talk about AI applications in the Intensive Care Unit.
Prof. Meyfroidt discusses the future of intensive care and in silico medicine, highlighting the need for AI systems that support, rather than replace, clinicians. Instead of chasing ever more complex models, he argues for actionable tools that act like a “GPS for doctors”, delivering the right data at the right time. Such systems could save precious clinical time, strengthen human interaction with patients, and bring expert care to places where it is most needed.
Prof. Meyfroidt discusses the future of intensive care and in silico medicine, highlighting the need for AI systems that support, rather than replace, clinicians. Instead of chasing ever more complex models, he argues for actionable tools that act like a “GPS for doctors”, delivering the right data at the right time. Such systems could save precious clinical time, strengthen human interaction with patients, and bring expert care to places where it is most needed.
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By Virtual Physiological Human InstituteIn this episode of The Digital Twin Theory podcast we reached out to Prof. Geert Meyfroidt, head of the department of intensive care medicine at the University Hospital of Leuven to talk about AI applications in the Intensive Care Unit.
Prof. Meyfroidt discusses the future of intensive care and in silico medicine, highlighting the need for AI systems that support, rather than replace, clinicians. Instead of chasing ever more complex models, he argues for actionable tools that act like a “GPS for doctors”, delivering the right data at the right time. Such systems could save precious clinical time, strengthen human interaction with patients, and bring expert care to places where it is most needed.
Prof. Meyfroidt discusses the future of intensive care and in silico medicine, highlighting the need for AI systems that support, rather than replace, clinicians. Instead of chasing ever more complex models, he argues for actionable tools that act like a “GPS for doctors”, delivering the right data at the right time. Such systems could save precious clinical time, strengthen human interaction with patients, and bring expert care to places where it is most needed.