AIMC Topic: Emergency Service, Hospital
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AI-Assisted Blood Gas Interpretation: A Comparative Study With an Emergency Physician.
The American journal of emergency medicine
Apr 14, 2025
BACKGROUND: Blood gas interpretation is critical in emergency settings. Large language models like ChatGPT are increasingly used in clinical contexts, but their accuracy in interpreting arterial blood gases (ABGs) requires further validation.
Cost-Effectiveness Analysis of a Machine Learning-Based eHealth System to Predict and Reduce Emergency Department Visits and Unscheduled Hospitalizations of Older People Living at Home: Retrospective Study.
JMIR formative research
Apr 11, 2025
BACKGROUND: Dependent older people or those losing their autonomy are at risk of emergency hospitalization. Digital systems that monitor health remotely could be useful in reducing these visits by detecting worsening health conditions earlier. Howeve...
Predicting hospital admissions, ICU utilization, and prolonged length of stay among febrile pediatric emergency department patients using incomplete and imbalanced electronic health record (EHR) data strategies.
International journal of medical informatics
Apr 4, 2025
OBJECTIVE: Determine the efficacy of commonly used approaches to handling missing and/or imbalanced Electronic Health Record (EHR) data on the performance of predictive models targeting risk of admission, intensive care unit (ICU) use, or prolonged l...
Communication challenges and experiences between parents and providers in South Korean paediatric emergency departments: a qualitative study to define AI-assisted communication agents.
BMJ open
Apr 3, 2025
OBJECTIVES: This study aimed to explore communication challenges between parents and healthcare providers in paediatric emergency departments (EDs) and to define the roles and functions of an artificial intelligence (AI)-assisted communication agent ...
AI-ECG Supported Decision-Making for Coronary Angiography in Acute Chest Pain: The QCG-AID Study.
Journal of Korean medical science
Mar 31, 2025
This pilot study evaluates an artificial intelligence (AI)-assisted electrocardiography (ECG) analysis system, QCG, to enhance urgent coronary angiography (CAG) decision-making for acute chest pain in the emergency department (ED). We retrospectively...
Evaluating a large language model's accuracy in chest X-ray interpretation for acute thoracic conditions.
The American journal of emergency medicine
Mar 27, 2025
BACKGROUND: The rapid advancement of artificial intelligence (AI) has great ability to impact healthcare. Chest X-rays are essential for diagnosing acute thoracic conditions in the emergency department (ED), but interpretation delays due to radiologi...
Constructing an early warning model for elderly sepsis patients based on machine learning.
Scientific reports
Mar 27, 2025
Sepsis is a serious threat to human life. Early prediction of high-risk populations for sepsis is necessary especially in elderly patients. Artificial intelligence shows benefits in early warning. The aim of the study was to construct an early machin...
Preliminary evaluation of ChatGPT model iterations in emergency department diagnostics.
Scientific reports
Mar 26, 2025
Large language model chatbots such as ChatGPT have shown the potential in assisting health professionals in emergency departments (EDs). However, the diagnostic accuracy of newer ChatGPT models remains unclear. This retrospective study evaluated the ...
Artificial Intelligence and Qualitative Analysis of Emergency Department Telemental Health Care Implementation Survey.
Telemedicine journal and e-health : the official journal of the American Telemedicine Association
Mar 24, 2025
: Implementation of telemental health care in emergency departments (EDs) in the United States (U.S.) has been increasing. Artificial intelligence (AI) can augment traditional qualitative research methods; little is known about its efficiency and acc...
Artificial intelligence versus orthopedic surgeons as an orthopedic consultant in the emergency department.
Injury
Mar 22, 2025
INTRODUCTION: ChatGPT, a widely accessible AI program, has demonstrated potential in various healthcare applications, including emergency department (ED) triage, differential diagnosis, and patient education. However, its potential in providing recom...
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