AIMC Topic: Hemorrhage

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Artificial intelligence and machine learning for hemorrhagic trauma care.

Military Medical Research Feb 16, 2023
Artificial intelligence (AI), a branch of machine learning (ML) has been increasingly employed in the research of trauma in various aspects. Hemorrhage is the most common cause of trauma-related death. To better elucidate the current role of AI and c...
Humans Retrospective Studies Emergency Medical Services Hemorrhage Machine Learning Prospective Studies Artificial Intelligence
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Development and validation of a mathematical model to simulate human cardiovascular and respiratory responses to battlefield trauma.

International journal for numerical methods in biomedical engineering Nov 25, 2022
Mathematical models of human cardiovascular and respiratory systems provide a viable alternative to generate synthetic data to train artificial intelligence (AI) clinical decision-support systems and assess closed-loop control technologies, for milit...
Artificial Intelligence Lung Models, Theoretical Humans Arterial Pressure Hemorrhage
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Cytologic scoring of equine exercise-induced pulmonary hemorrhage: Performance of human experts and a deep learning-based algorithm.

Veterinary pathology Nov 17, 2022
Exercise-induced pulmonary hemorrhage (EIPH) is a relevant respiratory disease in sport horses, which can be diagnosed by examination of bronchoalveolar lavage fluid (BALF) cells using the total hemosiderin score (THS). The aim of this study was to e...
Animals Deep Learning Iron Reproducibility of Results Hemosiderin Horses Lung Diseases Horse Diseases Hemorrhage Bronchoalveolar Lavage Fluid
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Robotic management of severe hemorrhage during para-aortic lymph node dissection.

Asian journal of surgery Nov 7, 2022
Robotic Surgical Procedures Hemorrhage Robotics Neoplasm Staging Humans Lymph Nodes Lymph Node Excision Retrospective Studies
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Robotically applied hemostatic clamping for care-under-fire: harnessing bomb robots for hemorrhage control.

Canadian journal of surgery. Journal canadien de chirurgie Apr 1, 2022
BACKGROUND: Early hemorrhage control after interpersonal violence is the most urgent requirement to preserve life and is now recognized as a responsibility of law enforcement. Although earlier entry of first responders is advocated, many shooting sce...
Hemorrhage Hemostatics Humans Robotics Bombs Constriction
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AI-Enabled Advanced Development for Assessing Low Circulating Blood Volume for Emergency Medical Care: Comparison of Compensatory Reserve Machine-Learning Algorithms.

Sensors (Basel, Switzerland) Mar 30, 2022
The application of artificial intelligence (AI) has provided new capabilities to develop advanced medical monitoring sensors for detection of clinical conditions of low circulating blood volume such as hemorrhage. The purpose of this study was to com...
Artificial Intelligence Machine Learning Hemodynamics Blood Pressure Algorithms Humans Hypovolemia Blood Volume Heart Rate Hemorrhage
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Deep Neural Networks Can Accurately Detect Blood Loss and Hemorrhage Control Task Success From Video.

Neurosurgery Mar 25, 2022
BACKGROUND: Deep neural networks (DNNs) have not been proven to detect blood loss (BL) or predict surgeon performance from video.
Hemorrhage Linear Models Carotid Arteries Neural Networks, Computer Surgeons Humans
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Prediction Value of Epilepsy Secondary to Inferior Cavity Hemorrhage Based on Scalp EEG Wave Pattern in Deep Learning.

Journal of healthcare engineering Mar 15, 2022
OBJECTIVE: To search the predictive value of epilepsy secondary to acute subarachnoid hemorrhage (aSAH) based on EEG wave pattern in deep learning.
Hemorrhage Scalp Epilepsy Seizures Humans Deep Learning Electroencephalography
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Advanced medical monitoring for the battlefield: A review on clinical applicability of compensatory reserve measurements for early and accurate hemorrhage detection.

The journal of trauma and acute care surgery Mar 8, 2022
Hemorrhagic shock remains the leading cause of mortality in civilian trauma and battlefield settings. The ability of combat medics and other military medical personnel to obtain early identification and assessment of a bleeding casualty is hampered b...
Shock, Hemorrhagic Humans Artificial Intelligence Hemorrhage Resuscitation Monitoring, Physiologic
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Risk prediction of clinical adverse outcomes with machine learning in a cohort of critically ill patients with atrial fibrillation.

Scientific reports Sep 23, 2021
Critically ill patients affected by atrial fibrillation are at high risk of adverse events: however, the actual risk stratification models for haemorrhagic and thrombotic events are not validated in a critical care setting. With this paper we aimed t...
Stroke Atrial Fibrillation Hemorrhage Risk Assessment Female Humans Aged, 80 and over Retrospective Studies Hospital Mortality Machine Learning Male Critical Illness Risk Factors Treatment Failure Intensive Care Units Aged Ischemic Attack, Transient
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