LATEST UPDATE

Team Chiron demonstrates at Industry Day. See it in action >>.

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Technology & Research

AI and robotics research pushing the boundaries of autonomous triage and casualty assessment in high-risk environments.

Core Technologies

AI for Medical Assessment

Real-time injury detection and triage classification using computer vision and deep learning algorithms trained on extensive medical datasets.

Computer Vision Deep Learning Medical AI

Remote Vital Signs Monitoring

Non-contact technologies for detecting pulse, respiration, and temperature from a distance, enabling assessment without direct patient contact.

Thermal Imaging Motion Analysis

Multi-Agent Coordination

Distributed decision-making algorithms that enable autonomous robots to efficiently coordinate their actions in complex unstructured environments.

Swarm Intelligence Task Allocation Distributed Systems

Resilient Communications

Mesh networking techniques that maintain connectivity in challenging environments with limited infrastructure, ensuring reliable data transmission.

Mesh Networks Edge Computing Fault Tolerance

Recent Publications

December 2024 Carnegie Mellon University

Critical Algorithms for Medical Triage: A Pragmatic Approach to Contextual Diagnostic Segmentation

James Emilian

Master of Science in Biomedical Engineering - Thesis submitted in Partial Fulfillment of the Requirements for the Degree of Master of Science - Biomedical Engineering (Research)

Thesis Advisor: Prof. John Galeotti BME Faculty Reader: Prof. Steven Chase
Medical Triage Diagnostic Algorithms Biomedical Engineering

Our Approach

1

Problem Identification

Collaborating with medical professionals and first responders to identify critical challenges in emergency response scenarios.

2

Research & Development

Exploring cutting-edge technologies and methodologies to address identified challenges through interdisciplinary research.

3

Prototype Testing

Building and testing prototypes in simulated emergency environments to validate technology effectiveness.

4

Field Deployment

Deploying refined systems in controlled real-world scenarios to gather performance data and user feedback.

5

Continuous Improvement

Iterating on designs and algorithms based on field data and stakeholder input to enhance system capabilities.

Year 1 Progress

First iteration implementation of our 5-step approach

Note: The following demonstration contains simulated injuries with medical mannequins and artificial blood. These simulations are used for training and research purposes only.

Year 1 Progress - Implementation of 5-step approach