Enabling Med Cap to Support Dispersed OPS Adv Tech

Abstract

This Project is a new start for FY 2020 designed to mature Applied Research first developed in PE 0602787A (Medical Technology) / Project XV5 (Medical Capabilities to Support Dispersed Ops). The aim of this Project is to develop a data-driven, intelligent and autonomous combat evacuation medical capability by maturing relevant artificial intelligence (AI) and machine learning algorithms and processes. These efforts will support initial and sustained integrated theater health care and trauma care delivery in future dispersed operations characterized by delayed evacuation, prolonged care, and reduced/denied communications. AI and machine learning technologies developed in this Project aim to reduce military combat casualties by enabling autonomous evacuation utilizing future Army Unmanned Aerial System (UAS) and ground platforms. Pursuant to these aims, this Project will research and design a tele-monitored and remote-controlled medical module to support medical resupply and casualty evacuation. The medical module will be developed to be self-contained, providing a "roll-on, roll-off" medical capability to future multi-purpose UAS and ground platforms. The cited work is consistent with the Under Secretary of Defense (Research and Engineering) science and technology focus areas and the Army Modernization Strategy. Work in this Project is performed by: the United States (U.S.) Army Medical Research Materiel Command (USAMRMC), Fort Detrick, MD.

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Document Details

Document Type
Project
Publication Date
Oct 01, 2020
Source ID
MM7_0603002A_3_2040_PB_2020

Tags

Fields of Study

  • Computer science

Readers

  • Military Science and Technology Research and Modernization.
  • Trauma or Military Medicine
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • Autonomy

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