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Autonomous Ruggedized Combat Casualty Care - Diagnostics (ARC3-D)

Award Information
Agency: Department of Defense
Branch: Army
Contract: W81XWH-18-C-0132
Agency Tracking Number: A181-063-0218
Amount: $99,105.27
Phase: Phase I
Program: SBIR
Solicitation Topic Code: A18-063
Solicitation Number: 2018.1
Solicitation Year: 2018
Award Year: 2018
Award Start Date (Proposal Award Date): 2018-09-13
Award End Date (Contract End Date): 2019-03-12
Small Business Information
625 Mount Auburn Street
Cambridge, MA 02138
United States
DUNS: 115243701
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Mr. Max Metzger
 (617) 491-3474
Business Contact
 Mr. Mark Felix
Phone: (617) 491-3474
Research Institution

In the near future, the Warfighter may face prolonged isolation and sustained denial of support on the battlefield, and may have no access to medical support. To become more resilient to these challenges, the Warfighter will need additional, innovative support to provide Tactical Combat Casualty Care (TCCC). Intelligent decision-support software, teleoperated trauma care systems, and fully autonomous trauma care robotics are intriguing solutions. In addition to performing patient monitoring and intervention, these solutions must intelligently diagnose multiple injuries and produce prioritized treatment plans. To address these challenges, we propose to design and demonstrate the feasibility of Autonomous Ruggedized Combat Casualty CareDiagnostics (ARC3-D), a modular, intelligent framework for autonomous combat casualty care. ARC3-D combines behavioral modeling based on trauma treatment algorithms and procedures with machine learning that can reason under uncertainty to continually produce and refine diagnoses of traumatic injury, as well as produce prioritized TCCC treatment plans that can then be used by intervention subsystems connected to ARC3-D.

* Information listed above is at the time of submission. *

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