Autonomous Healthcare


Autonomous Healthcare is dedicated to improving the quality of care through automation, developing next-generation automated medical technologies. Founded by a team of aerospace engineers with training in biomedicine, the company focuses on innovative solutions such as AI-enabled software for mechanical ventilation management, semi-automated and fully-automated hemodynamic management, and health monitoring for astronauts. Their work includes advanced control algorithms, space exploration health tech, and ICU automation, aiming to revolutionize critical care and space health monitoring.

Industries

health-care
medical-device

Nr. of Employees

small (1-50)

Autonomous Healthcare

Santa Clara, California, United States, North America


Products

Syncron-E

AI-based software that analyzes pressure and flow waveforms in real time to detect patient–ventilator asynchrony and ineffective triggering.

E-Fusion

Smart fluid and vasoactive drug management system capable of providing semi-automated clinical decision support and fully-automated closed-loop fluid and drug management.

Countra

Closed-loop system for managing dispensing, use, transfer, and wasting of controlled substances in ambulatory surgery centers and clinics, combining tamper‑proof ledger technology and AI for diversion monitoring.

AstroSight

Computer vision–based video analytics and non-invasive vital sign monitoring technology developed for astronaut health monitoring in space missions.


Services

Contract R&D for government and agency sponsors

Developing investigational monitoring and automation technologies under sponsored contracts for agencies including NASA, DARPA, NIH and other federal sponsors.

Preclinical and clinical validation studies

Design and execution of animal-model studies and retrospective/clinical validation to assess algorithm sensitivity and performance metrics.

Expertise Areas

  • Mechanical ventilation management
  • Closed-loop fluid resuscitation and vasoactive drug management
  • Critical care automation and ICU workflow optimization
  • AI-driven clinical decision support
  • Show More (4)

Key Technologies

  • Machine learning for physiological waveform analysis
  • Adaptive closed-loop control systems
  • Computer vision for vital-sign extraction
  • Video-based non-invasive vital sign monitoring
  • Show More (4)

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