Autonomous Healthcare
Autonomous Healthcare develops autonomous systems for critical care, applying advanced algorithms and modeling to automate and support processes such as mechanical ventilation and hemodynamic management in intensive care units. The company leverages expertise from aerospace engineering and artificial intelligence to provide continuous clinical vigilance, validated through rigorous research and regulatory milestones.
Industries
N/A
Patents
Clinical decision support system for patient-ventilator asynchrony detection and management
2025-01-14 • US-12194237-B2
View DetailsHierarchical adaptive closed-loop fluid resuscitation and cardiovascular drug administration system
2023-07-25 • US-11707571-B2
View DetailsHierarchical adaptive closed-loop fluid resuscitation and cardiovascular drug administration system
2022-05-24 • US-11338087-B2
View DetailsClinical decision support system for patient-ventilator asynchrony detection and management
2021-05-11 • US-11000656-B2
View DetailsHierarchical adaptive closed-loop fluid resuscitation and cardiovascular drug administration system
2021-02-23 • US-10926031-B2
View DetailsClinical decision support system for patient-ventilator asynchrony detection and management
2020-12-29 • US-10874811-B2
View Details
Clinical decision support system for patient-ventilator asynchrony detection and management
2025-01-14 • US-12194237-B2
View DetailsHierarchical adaptive closed-loop fluid resuscitation and cardiovascular drug administration system
2023-07-25 • US-11707571-B2
View DetailsHierarchical adaptive closed-loop fluid resuscitation and cardiovascular drug administration system
2022-05-24 • US-11338087-B2
View DetailsClinical decision support system for patient-ventilator asynchrony detection and management
2021-05-11 • US-11000656-B2
View DetailsHierarchical adaptive closed-loop fluid resuscitation and cardiovascular drug administration system
2021-02-23 • US-10926031-B2
View DetailsClinical decision support system for patient-ventilator asynchrony detection and management
2020-12-29 • US-10874811-B2
View DetailsProducts
A software system that analyzes ventilator waveforms breath-by-breath to detect patient-ventilator asynchrony, specifically identifying ineffective breathing efforts in adults receiving invasive mechanical ventilation.
A platform utilizing adaptive and closed-loop control for automated vasopressor and fluid therapy management based on real-time hemodynamic data.
A software system that analyzes ventilator waveforms breath-by-breath to detect patient-ventilator asynchrony, specifically identifying ineffective breathing efforts in adults receiving invasive mechanical ventilation.
A platform utilizing adaptive and closed-loop control for automated vasopressor and fluid therapy management based on real-time hemodynamic data.
Expertise Areas
- Critical care automation
- Ventilator management
- Hemodynamic management
- Digital twin modeling
Key Technologies
- Closed-loop control algorithms
- Machine learning
- Digital twin simulation
- Autonomous physiological monitoring
Key People
Co-Founder, Chairman of the Board, Chief Scientific Advisor
Co-Founder, Chief Executive Officer
Chief Medical Officer
Chief Commercial Officer
Co-Founder, Chairman of the Board, Chief Scientific Advisor
Co-Founder, Chief Executive Officer
Chief Medical Officer
Chief Commercial Officer
News & Updates
Feature in IEEE Spectrum discussing the use of AI for high-frequency clinical care in critical care settings.
FDA grants marketing authorization for the first device in a new category for ventilator waveform analysis software.
Received a $1.9 million NIH grant to support AI-based drug management technologies.
Received a contract to develop a fully automated hemorrhage control technology.
Validation study showed automated detection of patient-ventilator asynchrony by Syncron-E is twice as sensitive as detection by clinicians.
Received a $746,000 grant from the National Science Foundation to further develop E-Fusion.
Feature in IEEE Spectrum discussing the use of AI for high-frequency clinical care in critical care settings.
FDA grants marketing authorization for the first device in a new category for ventilator waveform analysis software.
Received a $1.9 million NIH grant to support AI-based drug management technologies.
Received a contract to develop a fully automated hemorrhage control technology.
Validation study showed automated detection of patient-ventilator asynchrony by Syncron-E is twice as sensitive as detection by clinicians.
Received a $746,000 grant from the National Science Foundation to further develop E-Fusion.