Intelligent Trauma Intervention Algorithms for a Ruggedized Autonomous Combat Casualty Care Capability

Award Information
Agency: Department of Defense
Branch: Army
Contract: W81XWH-19-C-0030
Agency Tracking Number: A181-064-1218
Amount: $99,945.62
Phase: Phase I
Program: SBIR
Solicitation Topic Code: A18-064
Solicitation Number: 2018.1
Solicitation Year: 2018
Award Year: 2019
Award Start Date (Proposal Award Date): 2018-12-24
Award End Date (Contract End Date): 2019-07-23
Small Business Information
300 W Pratt St, Suite 200, Baltimore, MD, 21201
DUNS: 000870083
HUBZone Owned: Y
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Rasa Ghaffarian, PhD
 (410) 707-5105
Business Contact
 Gil Blankenship, PhD
Phone: (202) 415-6677
Research Institution
The objective of this project is to design, develop, and demonstrate intelligent algorithms for combat casualty care embedded in a small, low cost, high-performance, open architecture computer system.In this project we focus on critical interventions in treatment of combat casualties, specifically hemorrhage control and airway management. In related work MDC is developing tools for combat casualty care (CCC), including a novel tool for semi-automated vascular access (AVAD), an automated tool for airway restoration and emergency resuscitation (EO2), and an automated tourniquet system (ATS) for managing hemorrhage from one or more limbs on one or more patients (e.g., in a mass casualty event). Developing an artificial intelligence (AI) platform to support, and eventually to automate, the use of these and related trauma care tools at various levels of CCC will have important impacts on military and civilian trauma care. The AVAD, ATS, and EO2 tools we consider in Phase 1 enable interventions to address the two leading causes of preventable combat deaths: severe (non-compressible or compressible) hemorrhage and airway obstructions. Successful AI guided interventions with these tools and others for CCC can save many lives, both military and civilian.

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

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