AIMC Topic: Wounds, Nonpenetrating

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Image Segmentation and Machine Learning for Detection of Abdominal Free Fluid in Focused Assessment With Sonography for Trauma Examinations: A Pilot Study.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine Oct 13, 2016
The objective of this pilot study was to test the feasibility of automating the detection of abdominal free fluid in focused assessment with sonography for trauma (FAST) examinations. Perihepatic views from 10 FAST examinations with positive results ...
Male Middle Aged Pilot Projects Adolescent Young Adult Ultrasonography Aged Image Processing, Computer-Assisted Retrospective Studies Adult Aged, 80 and over Sensitivity and Specificity Wounds, Nonpenetrating Body Fluids Female Abdomen Humans Abdominal Injuries Feasibility Studies Machine Learning
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Abdominal compartment syndrome in traumatic hemorrhagic shock: is there a fluid resuscitation inflection point associated with increased risk?

American journal of surgery Dec 31, 2015
BACKGROUND: The volume of fluid administered during trauma resuscitation correlates with the risk of abdominal compartment syndrome (ACS). The exact volume at which this risk rises is uncertain. We established the inflection point for ACS risk during...
Injury Severity Score Adult Wounds, Nonpenetrating Humans Compartment Syndromes Male Shock, Hemorrhagic Female Retrospective Studies Abdomen Lactates Length of Stay Risk Factors United States Fluid Therapy Treatment Outcome International Normalized Ratio
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Strike Velocity Prediction of Stick Blunt Instruments Based on Backpropagation Neural Network.

Fa yi xue za zhi Oct 25, 2022
OBJECTIVES: To analyze and predict the striking velocity range of stick blunt instruments in different populations, and to provide basic data for the biomechanical analysis of blunt force injuries in forensic identification.
Humans Female Neural Networks, Computer Male Software Forensic Medicine Wounds, Nonpenetrating
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Trauma outcome predictor: An artificial intelligence interactive smartphone tool to predict outcomes in trauma patients.

The journal of trauma and acute care surgery Jul 1, 2021
BACKGROUND: Classic risk assessment tools often treat patients' risk factors as linear and additive. Clinical reality suggests that the presence of certain risk factors can alter the impact of other factors; in other words, risk modeling is not linea...
Artificial Intelligence Decision Support Techniques Databases, Factual Humans Male Risk Factors Injury Severity Score Middle Aged Aged Wounds, Penetrating Risk Assessment Wounds, Nonpenetrating Adult United States Female Emergencies Predictive Value of Tests Hospital Mortality Smartphone
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[Application of deep learning-based chest CT auxiliary diagnosis system in emergency trauma patients].

Zhonghua yi xue za zhi Feb 23, 2021
To investigate the diagnostic efficacy and potential application value of deep learning-based chest CT auxiliary diagnosis system in emergency trauma patients. A total of 403 patients, including 254 males and 149 females aged from 16 to 100 (50±19)...
Adult Male Middle Aged Aged, 80 and over Young Adult Deep Learning Adolescent Thoracic Injuries Retrospective Studies Wounds, Nonpenetrating Tomography, X-Ray Computed Female Aged Humans
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Risk assessment for intra-abdominal injury following blunt trauma in children: Derivation and validation of a machine learning model.

The journal of trauma and acute care surgery Jul 1, 2020
BACKGROUND: Computed tomography is the criterion standard for diagnosing intra-abdominal injury (IAI) but is expensive and risks radiation exposure. The Pediatric Emergency Care Applied Research Network (PECARN) model identifies children at low risk ...
Machine Learning Predictive Value of Tests Wounds, Nonpenetrating Abdominal Injuries Female Risk Factors Adolescent Male Child Risk Assessment Humans
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