Development and validation of a Machine Learning-Based Pharmacodynamic Model Of Rocuronium induced neuromuscular block during general anesthesia: Using the Leiden Data Logger

Neuromuscular blocking agents (NMBAs) are commonly employed in anesthesia to facilitate intubation and improve surgical working conditions. Understanding their pharmacokinetics (PK) and pharmacodynamics (PD) is crucial for optimizing their administration. PK describes drug absorption, distribution, metabolism, and elimination, while PD links...

Using Markov-Switching Vector Autoregressions for modelling intraoperative hemodynamics

Cardiac complications after surgery are common irrespective of the underlying condition. The postoperative level of troponin T is a good marker for cardiac complications. Little is known on the pathology of the release of troponin T in the blood, while a better understanding might provide the ability to reduce the complications. The goal of the...

The attitude of anesthesia assistants towards Artificial Intelligence-assisted patient monitoring in the Operating Room: Using the knowledge on their attitude and motivation to create an educational module that supports anesthesia assistants in their awareness and understanding of the impact of AI-assisted monitoring

Research on the possibilities to use Artificial Intelligence (AI) at the Operating Room (OR) is rising, although there is no implementation yet. AI-assisted monitoring could provide support to anesthesia assistants in their task of patient monitoring, by making predictions on the future occurrence of deviating events in the vital parameter...

A systems approach for monitoring anesthesia

General anesthesia (GA) is an important medical procedure that induces unconsciousness to patients during surgery. Consciousness is a salient feature of the brain, whose neurophysiological features are difficult to be distinguished from unconsciousness. Though it can be defined as an event arising due to interactions in the nervous system, it...