AIMC Topic: Military Medicine

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Decision Support for Tactical Combat Casualty Care Using Machine Learning to Detect Shock.

Military medicine Jan 25, 2021
INTRODUCTION: The emergence of more complex Prolonged Field Care in austere settings and the need to assist inexperienced providers' ability to treat patients create an urgent need for effective tools to support care. We report on a project to develo...
Humans Shock Military Personnel Military Medicine Machine Learning Triage
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Combat medic testing of a novel monitoring capability for early detection of hemorrhage.

The journal of trauma and acute care surgery Aug 1, 2020
BACKGROUND: Current out-of-hospital protocols to determine hemorrhagic shock in civilian trauma systems rely on standard vital signs with military guidelines relying on heart rate and strength of the radial pulse on palpation, all of which have prove...
War-Related Injuries Blood Volume Military Medicine Hemorrhage Military Personnel Early Diagnosis Vital Signs Machine Learning Algorithms Humans
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Can Predictive Modeling Tools Identify Patients at High Risk of Prolonged Opioid Use After ACL Reconstruction?

Clinical orthopaedics and related research Jul 1, 2020
BACKGROUND: Machine-learning methods such as the Bayesian belief network, random forest, gradient boosting machine, and decision trees have been used to develop decision-support tools in other clinical settings. Opioid abuse is a problem among civili...
Pain, Postoperative Opioid-Related Disorders Time Factors Treatment Outcome Anterior Cruciate Ligament Injuries Anterior Cruciate Ligament Reconstruction Narcotic Antagonists Drug Administration Schedule Arthroscopy Young Adult Adult Male Risk Assessment Military Medicine Reproducibility of Results Risk Factors Clinical Decision-Making Databases, Factual Female Humans Decision Support Techniques Retrospective Studies Machine Learning
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Telesurgery prospects in delivering healthcare in remote areas.

JPMA. The Journal of the Pakistan Medical Association Feb 1, 2019
Feasibility and safety of performing remote surgery was first established by performing surgeries on pigs in later part of the 20th century. The first tele-robotic remote surgical system was set up in Canada in 2003 between two hospitals 400 kilometr...
Robotics Robotic Surgical Procedures Telemedicine General Surgery Humans Animals Naval Medicine Computer Security Military Medicine Aerospace Medicine
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Blood pressure and heart rate from the arterial blood pressure waveform can reliably estimate cardiac output in a conscious sheep model of multiple hemorrhages and resuscitation using computer machine learning approaches.

The journal of trauma and acute care surgery Oct 1, 2015
BACKGROUND: This study was a first step to facilitate the development of automated decision support systems using cardiac output (CO) for combat casualty care. Such systems remain a practical challenge in battlefield and prehospital settings. In thes...
Traumatology Military Medicine Heart Rate Hemorrhage Animals Decision Support Techniques Blood Pressure Determination Cardiac Output Hemodynamics Female Predictive Value of Tests Disease Models, Animal Sheep, Domestic Arterial Pressure Machine Learning Pulse Wave Analysis Resuscitation Calibration Algorithms
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