SIREN
Synergy in Respiration: Improving Patient–Ventilator Interaction via AI-based Monitoring. Public–private partnership of Erasmus MC Intensive Care and Deep Breath B.V., supported by Health~Holland (Top Sector Life Sciences & Health).
- Type
- Funded research consortium (not a journal article)
- Acronym
- SIREN
- Duration
- 48 months
- TRL
- 4–7 (Health~Holland listing)
- Funder
- Health~Holland — Top Sector Life Sciences & Health
- Clinical partner
- Erasmus MC, Intensive Care department
- Industry partner
- Deep Breath B.V.
- Project page
- health-holland.com — SIREN
What the project is
Mechanical ventilation is life-saving and can also cause further lung injury. Many ventilated patients show excessive effort and irregular breathing. Patient–ventilator asynchrony (PVA) is associated with discomfort, lung injury, sleep disruption, and longer ventilation. Finding PVA by eye on waveforms is slow and incomplete.
SIREN brings Erasmus MC clinical and scientific expertise together with Deep Breath’s data-science engineering to co-create software that analyses ventilator waveforms in real time, detects harmful PVA, and aims to give clinicians actionable information for ventilator settings.
The stated project outcome is a validated AI-based decision-support system ready for clinical integration. That is a future deliverable. Clinical decision support is not MDR or FDA cleared today.
What Deep Breath contributed
Deep Breath B.V. is the industry partner. On the Health~Holland page the consortium is described as clinical/scientific experts (Erasmus MC) and data-science engineers (Deep Breath). Anton Balakirev and Daria Kozlova appear as Deep Breath authors on the related ICMx review (Let’s get in sync), whose author group forms this consortium.
Erasmus MC colleagues Annemijn Jonkman and Nico Goedendorp, with Balakirev and Kozlova, describe how the partnership started in a public video (Amazing Erasmus MC / Health~Holland).
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