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SBC: ROBOTIC RESEARCH OPCO LLC Topic: DTRA182002
As more of our enemies expand the number and complexity of their underground facilities, the need to improve the tools that provide consistent situational awareness (SA) increases accordingly. For complex missions such as these, we require a family of systems (FoS) that have different capabilities, and can address various mission needs. Robotic Research proposes creating a unique, small platform ( ...SBIR Phase I 2019 Department of DefenseDefense Threat Reduction Agency
SBC: NAKAMIR INC Topic: DHA191001
We propose development of an AR system that allows the medical personnel to visualize the internal anatomy of a patient by projecting relevant anatomical information onto the patient directly into the field of view (FOV) of the medic. With no medical imagSBIR Phase I 2019 Department of DefenseDefense Health Agency
SBC: AUGMNTR, INC. Topic: DHA191001
The purpose of the MEDIC (Medic’s Enhanced Diagnostic Imaging Companion) system is to provide combat medics, via Augmented Reality (AR), a digitally-superimposed avatar representing the internal anatomy of their Warfighter patient. Phase I of this SBIR pSBIR Phase I 2019 Department of DefenseDefense Health Agency
SBC: VCOM3D INC Topic: DHA191002
The goal of medical simulation-based training such as high-fidelity manikin simulators, part task trainers, and screen-based virtual patients, is to approximate real-life treatment experiences without risk to live patients. While the use of sensors has maSBIR Phase I 2019 Department of DefenseDefense Health Agency
SBC: SHARP VISION SOFTWARE LLC Topic: DHA191002
A proof-of-concept research on Intelligent Patient Platform is proposed with the goal to improve healthcare training experience by adding natural language capability to patient simulators by leveraging the latest artificial intelligent technologies so thaSBIR Phase I 2019 Department of DefenseDefense Health Agency
SBC: QUANTUM VENTURA INC Topic: DHA191002
We propose to develop SmartPatient BOT driven by a continuous learning Natural Language Processing (NLP) Engine which can understand medical learner's questions in a natural conversation mode and provide responses from the medical simulator instead of intSBIR Phase I 2019 Department of DefenseDefense Health Agency
SBC: Temkin Associates, LLC Topic: DHA191003
In operational medicine, DHA continues to face challenges in documenting patient treatments at the point of injury in Theater, through moving records with the patient back to Garrison. The challenge includes: 1) the documentation and capture of data elSBIR Phase I 2019 Department of DefenseDefense Health Agency
ConnextNFV: An Open, Extensible, and Robust Framework to Ensure Military Systems Availability in DIL EnvironmentsSBC: REAL-TIME INNOVATIONS, INC. Topic: DHA191004
Team RTI is proposing to develop a comprehensive environment that will facilitate the provisioning and deployment of Network Function Virtualization in tactical DIL networks. We believe that it can add network resilience, enable improved data prioritizatiSBIR Phase I 2019 Department of DefenseDefense Health Agency
SBC: Intelligent Automation, Inc. Topic: DHA191005
Operational medicine data needs to be delivered both point-to-point and across multiple hops to particular mobile unit or gateway devices, and possibly beyond in Delayed, Intermittently-connected, Low-bandwidth (DIL) environments without end-to-end connecSBIR Phase I 2019 Department of DefenseDefense Health Agency
SBC: CLOSTRA INC Topic: DHA191005
The problem is clear: battlefield conditions often result in degraded network communications or situations where there is no network available at all. This results in significant harm to effective communications along a broad spectrum of devices and needSBIR Phase I 2019 Department of DefenseDefense Health Agency