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Implantation of Left Ventricular Assist Device (LVAD) in Juvenile Landrace Swine: A LVAD Implantation Model of Pediatric Heart Failure
Published on: January 16, 2026
Knowledge Editor and execution engine development for optimal ventricular assist device weaning.
Evaggelos C Karvounis1, Markos G Tsipouras, Alexandros T Tzallas
1Biomedical Research Institute-FORTH, GR 45110, Ioannina, Greece. ekarvuni@cc.uoi.gr
This study introduces a new decision support system module for weaning patients from ventricular assist devices (VADs) when heart function recovers. It efficiently selects suitable candidates for VAD explantation after heart failure treatment.
Area of Science:
- Cardiology
- Medical Informatics
- Biomedical Engineering
Background:
- End-stage heart failure (HF) often requires ventricular assist devices (VADs) for treatment.
- Myocardial function recovery can allow for VAD explantation in select HF patients.
- Efficient patient selection is crucial for successful VAD weaning and explantation.
Purpose of the Study:
- To present the weaning module of the SensorART specialist decision support system (SDSS).
- To describe the technical specifications of the Clinical Knowledge Editor and Knowledge Execution Engine sub-modules.
- To enable efficient selection of candidates for VAD weaning.
Main Methods:
- Development of a specialized decision support system (SDSS) module for VAD weaning.
- Implementation of a Clinical Knowledge Editor for managing patient data and treatment protocols.
- Integration of a Knowledge Execution Engine for automated candidate selection.
Main Results:
- The SensorART SDSS weaning module efficiently identifies suitable candidates for VAD weaning.
- Technical details of the Clinical Knowledge Editor and Knowledge Execution Engine are provided.
- The system facilitates the process of VAD explantation when myocardial function recovers.
Conclusions:
- The developed SensorART weaning module is an efficient tool for selecting heart failure patients for VAD weaning.
- This system supports the clinical decision-making process for VAD explantation.
- The module contributes to improved treatment strategies for end-stage heart failure patients.
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