AIMC Topic: Emergency Service, Hospital
Clear Filters Showing 171 to 180 of 462 articles
EE-Explorer: A Multimodal Artificial Intelligence System for Eye Emergency Triage and Primary Diagnosis.
American journal of ophthalmology
May 2, 2023
PURPOSE: To develop a multimodal artificial intelligence (AI) system, EE-Explorer, to triage eye emergencies and assist in primary diagnosis using metadata and ocular images.
Is Auto-generated Transcript of Patient-Nurse Communication Ready to Use for Identifying the Risk for Hospitalizations or Emergency Department Visits in Home Health Care? A Natural Language Processing Pilot Study.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Apr 29, 2023
AI-ENABLED ASSESSMENT OF CARDIAC FUNCTION AND VIDEO QUALITY IN EMERGENCY DEPARTMENT POINT-OF-CARE ECHOCARDIOGRAMS.
The Journal of emergency medicine
Mar 17, 2023
BACKGROUND: The adoption of point-of-care ultrasound (POCUS) has greatly improved the ability to rapidly evaluate unstable emergency department (ED) patients at the bedside. One major use of POCUS is to obtain echocardiograms to assess cardiac functi...
Emergency department use and Artificial Intelligence in Pelotas: design and baseline results.
Revista brasileira de epidemiologia = Brazilian journal of epidemiology
Mar 10, 2023
OBJETIVO: To describe the initial baseline results of a population-based study, as well as a protocol in order to evaluate the performance of different machine learning algorithms with the objective of predicting the demand for urgent and emergency s...
Modeling acute care utilization: practical implications for insomnia patients.
Scientific reports
Feb 7, 2023
Machine learning models can help improve health care services. However, they need to be practical to gain wide-adoption. In this study, we investigate the practical utility of different data modalities and cohort segmentation strategies when designin...
User Feedback on the Use of a Natural Language Processing Application to Screen for Suicide Risk in the Emergency Department.
The journal of behavioral health services & research
Feb 3, 2023
Suicide is the 10th leading cause of death in the USA and globally. Despite decades of research, the ability to predict who will die by suicide is still no better than 50%. Traditional screening instruments have helped identify risk factors for suici...
Machine learning to improve frequent emergency department use prediction: a retrospective cohort study.
Scientific reports
Feb 3, 2023
Frequent emergency department use is associated with many adverse events, such as increased risk for hospitalization and mortality. Frequent users have complex needs and associated factors are commonly evaluated using logistic regression. However, ot...
XAIRE: An ensemble-based methodology for determining the relative importance of variables in regression tasks. Application to a hospital emergency department.
Artificial intelligence in medicine
Jan 20, 2023
Nowadays it is increasingly important in many applications to understand how different factors influence a variable of interest in a predictive modeling process. This task becomes particularly important in the context of Explainable Artificial Intell...
Triaging: Another Vital Application of the Deep Learning Technique on Chest Radiographs at the Emergency Department.
Radiology
Jan 17, 2023
Machine Learning as an Adjunct to Traditional Triage in the Emergency Department.
The Journal of emergency medicine
Jan 12, 2023
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