Exploring the Possibility of AI to Improve Patient Care in ICU

Event outlines state of the art Machine learning approaches on improving lung protective ventilation for clinical decision support in ICU




This seminar will present the opportunities which exist when applying machine learning methods to physiological data. Computer systems deployed in hospital environments, routinely collect a large volume of data that can hold very useful information. However, the vast majority are either not stored and lost forever or are stored in digital archives and rarely re-examined. In recent years, there has been extensive work carried out by researchers utilising machine learning (ML) techniques on these data streams, to predict and prevent disease states. Such work aims to improve patient outcomes, to decrease mortality rates and decrease hospital stays and more generally, to decrease healthcare costs.

We will present our work on improving lung protective ventilation, using ML methodologies for clinical decision support. Further we will discuss our current data streams and research plans, and look to the future, reporting on how physiological data holds clinically important information to aid in decision support in the wider hospital environment.

The event is finished.


Dec 08 2021


10:00 am - 11:00 am

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