AIMC Topic: Emergency Medicine
Clear Filters Showing 31 to 40 of 70 articles
How do people think about the implementation of speech and video recognition technology in emergency medical practice?
PloS one
Sep 23, 2022
BACKGROUND: Recently, speech and video information recognition technology (SVRT) has developed rapidly. Introducing SVRT into the emergency medical practice process may lead to improvements in health care. The purpose of this study was to evaluate th...
Artificial Intelligence in Critical Care Medicine.
Critical care (London, England)
Mar 22, 2022
This article is one of ten reviews selected from the Annual Update in Intensive Care and Emergency Medicine 2022. Other selected articles can be found online at https://www.biomedcentral.com/collections/annualupdate2022 . Further information about th...
Artificial Intelligence in Infection Management in the ICU.
Critical care (London, England)
Mar 22, 2022
This article is one of ten reviews selected from the Annual Update in Intensive Care and Emergency Medicine 2022. Other selected articles can be found online at https://www.biomedcentral.com/collections/annualupdate2022 . Further information about th...
Understanding and interpreting artificial intelligence, machine learning and deep learning in Emergency Medicine.
Emergency medicine journal : EMJ
Mar 3, 2022
Documentation of Shared Decisionmaking in the Emergency Department.
Annals of emergency medicine
Jul 31, 2021
STUDY OBJECTIVE: While patient-centered communication and shared decisionmaking are increasingly recognized as vital aspects of clinical practice, little is known about their characteristics in real-world emergency department (ED) settings. We constr...
Natural Language Processing
Physician-Patient Relations
Emergency Medicine
Decision Making, Shared
Adolescent
Child, Preschool
Infant
Child
Surveys and Questionnaires
Aged, 80 and over
Female
Communication
Humans
Young Adult
Infant, Newborn
Male
Retrospective Studies
Aged
Adult
Middle Aged
Electronic Health Records
Automatic Classification of the Korean Triage Acuity Scale in Simulated Emergency Rooms Using Speech Recognition and Natural Language Processing: a Proof of Concept Study.
Journal of Korean medical science
Jul 12, 2021
BACKGROUND: Rapid triage reduces the patients' stay time at an emergency department (ED). The Korean Triage Acuity Scale (KTAS) is mandatorily applied at EDs in South Korea. For rapid triage, we studied machine learning-based triage systems composed ...
Deep learning-based identification of acute ischemic core and deficit from non-contrast CT and CTA.
Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism
Jun 8, 2021
The accurate identification of irreversible infarction and salvageable tissue is important in planning the treatments for acute ischemic stroke (AIS) patients. Computed tomographic perfusion (CTP) can be used to evaluate the ischemic core and deficit...
Machine Learning in Emergency Medicine: Keys to Future Success.
Academic emergency medicine : official journal of the Society for Academic Emergency Medicine
Jan 2, 2021
The niche of artificial intelligence in trauma and emergency medicine.
The American journal of emergency medicine
Oct 27, 2020
Forty years of emergency medicine research: Uncovering research themes and trends through topic modeling.
The American journal of emergency medicine
Aug 28, 2020
STUDY OBJECTIVE: Topic identification can facilitate knowledge curation, discover thematic relationships, trends, and predict future direction. We aimed to determine through an unsupervised, machine learning approach to topic modeling the most common...
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