AIMC Topic: Emergency Service, Hospital
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A large language model-based clinical decision support system for syncope recognition in the emergency department: A framework for clinical workflow integration.
European journal of internal medicine
Sep 28, 2024
Differentiation of syncope from transient loss of consciousness can be challenging in the emergency department (ED). Natural Language Processing (NLP) enables the analysis of free text in the electronic medical records (EMR). The present paper aimed ...
Impact of a deep learning-based brain CT interpretation algorithm on clinical decision-making for intracranial hemorrhage in the emergency department.
Scientific reports
Sep 27, 2024
Intracranial hemorrhage is a critical emergency that requires prompt and accurate diagnosis in the emergency department (ED). Deep learning technology can assist in interpreting non-enhanced brain CT scans, but its real-world impact on clinical decis...
Artificial Intelligence to Predict Billing Code Levels of Emergency Department Encounters.
Annals of emergency medicine
Sep 24, 2024
STUDY OBJECTIVE: To use artificial intelligence (AI) to predict billing code levels for emergency department (ED) encounters.
Acute cholecystitis diagnosis in the emergency department: an artificial intelligence-based approach.
Langenbeck's archives of surgery
Sep 24, 2024
OBJECTIVES: This study aimed to assess the diagnostic performance of a support vector machine (SVM) algorithm for acute cholecystitis and evaluate its effectiveness in accurately diagnosing this condition.
Quality assessment of expedited AI generated reformatted images for ED acquired CT abdomen and pelvis imaging.
Abdominal radiology (New York)
Sep 18, 2024
PURPOSE: Retrospectively compare image quality, radiologist diagnostic confidence, and time for images to reach PACS for contrast enhanced abdominopelvic CT examinations created on the scanner console by technologists versus those generated automatic...
Radiography, Abdominal
Pelvis
Humans
Radiographic Image Interpretation, Computer-Assisted
Artificial Intelligence
Quality Assurance, Health Care
Retrospective Studies
Middle Aged
Radiology Information Systems
Tomography, X-Ray Computed
Contrast Media
Female
Emergency Service, Hospital
Aged
Adult
Male
The effects of applying artificial intelligence to triage in the emergency department: A systematic review of prospective studies.
Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing
Sep 11, 2024
INTRODUCTION: Accurate and rapid triage can reduce undertriage and overtriage, which may improve emergency department flow. This study aimed to identify the effects of a prospective study applying artificial intelligence-based triage in the clinical ...
Development and Validation of a Deep Learning Model for Prediction of Adult Physiological Deterioration.
Critical care explorations
Sep 11, 2024
BACKGROUND: Prediction-based strategies for physiologic deterioration offer the potential for earlier clinical interventions that improve patient outcomes. Current strategies are limited because they operate on inconsistent definitions of deteriorati...
Reconfiguration of uncertainty: Introducing AI for prediction of mortality at the emergency department.
Social science & medicine (1982)
Sep 6, 2024
The promise behind many advanced digital technologies in healthcare is to provide novel and accurate information, aiding medical experts to navigate and, ultimately, decrease uncertainty in their clinical work. However, sociological studies have star...
Machine Learning for Targeted Advance Care Planning in Cancer Patients: A Quality Improvement Study.
Journal of pain and symptom management
Sep 3, 2024
CONTEXT: Prognostication challenges contribute to delays in advance care planning (ACP) for patients with cancer near the end of life (EOL).
Using machine learning to predict bacteremia in urgent care patients on the basis of triage data and laboratory results.
The American journal of emergency medicine
Sep 2, 2024
BACKGROUND: Despite advancements in antimicrobial therapies, bacteremia remains a life-threatening condition. Appropriate antimicrobials must be promptly administered to ensure patient survival. However, diagnosing bacteremia based on blood cultures ...
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