Abstract
Critically ill patients require support of breathing using mechanical ventilation. Inappropriate settings e.g. oxygen, pressure, volume and breathing rate can be dangerous. Mathematical models of the physiology can be tuned to individual patient measurements, allowing patient specific predictions. Preference functions formulated from decision theory, are used to describe the negative effects of ventilation, and advice generated to maximize preference and hence optimize mechanical ventilation.
A research system, INVENT, was built to advise on correct settings, minimizing the damage of mechanical ventilation for the individual patient.
A research system, INVENT, was built to advise on correct settings, minimizing the damage of mechanical ventilation for the individual patient.
Original language | English |
---|---|
Publication date | 2019 |
Number of pages | 1 |
Publication status | Published - 2019 |
Event | Kick-off: AI for the people - Rendsburggade 14, Aalborg, Denmark Duration: 19 Nov 2019 → 19 Nov 2019 |
Other
Other | Kick-off: AI for the people |
---|---|
Location | Rendsburggade 14 |
Country/Territory | Denmark |
City | Aalborg |
Period | 19/11/2019 → 19/11/2019 |
Keywords
- Mechanical Ventilation
- AI
- INVENT
- Inappropriate settings
- Minimizing damage