AIMC Topic: Hospitals, University
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[A new artificial intelligence tool for assessing symptoms in patients seeking emergency department care: the Mediktor application].
Emergencias : revista de la Sociedad Espanola de Medicina de Emergencias
May 13, 2025
OBJECTIVES: To analyze agreement between diagnoses issued by the Mediktor application and those of an attending physician, and to evaluate the usefulness of this application in patients who seek emergency care.
Emergency Service, Hospital
Double-Blind Method
Tertiary Care Centers
Aged, 80 and over
Decision Support Systems, Clinical
Clinical Decision-Making
Adult
Mobile Applications
Sensitivity and Specificity
Female
Male
Diagnosis, Differential
Aged
Hospitals, University
Computers, Handheld
Middle Aged
Humans
Surveys and Questionnaires
Artificial Intelligence
Prospective Studies
A Governance Framework for the Implementation and Operation of AI Applications in a University Hospital.
Studies in health technology and informatics
Aug 22, 2024
BACKGROUND: Artificial intelligence (AI) is becoming increasingly important in everyday life and medical care with a notable gap between AI development in medicine there and its practical implementation in university hospitals.
Deep learning application to automated classification of recommendations made by hospital pharmacists during medication prescription review.
American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists
May 24, 2024
PURPOSE: Recommendations to improve therapeutics are proposals made by pharmacists during the prescription review process to address suboptimal use of medicines. Recommendations are generated daily as text documents but are rarely reused beyond their...
Deep Learning to Differentiate Benign and Malignant Vertebral Fractures at Multidetector CT.
Radiology
Mar 1, 2024
Background Differentiating between benign and malignant vertebral fractures poses diagnostic challenges. Purpose To investigate the reliability of CT-based deep learning models to differentiate between benign and malignant vertebral fractures. Materi...
Pharmaceutical Decision Support System Using Machine Learning to Analyze and Limit Drug-Related Problems in Hospitals.
Studies in health technology and informatics
Mar 1, 2024
The health product circuit corresponds to the chain of steps that a medicine goes through in hospital, from prescription to administration. The safety and regulation of all the stages of this circuit are major issues to ensure the safety and protect ...
Large-Scale Standardized Image Integration for Secondary Use Research Projects.
Studies in health technology and informatics
Jan 25, 2024
Imaging techniques are a cornerstone of today's medicine and can be crucial for a successful therapy. But in addition, the generated imaging series are an important resource for new informatics' methods, especially in the field of artificial intellig...
Understanding and Use of Artificial Intelligence Among Doctors in a University Hospital in Morocco.
Studies in health technology and informatics
Oct 20, 2023
INTRODUCTION: Research and development in artificial intelligence (AI) has increased dramatically over the past decade, with all areas of life being affected and particularly the medical field. It is with this in mind that this study focused on the p...
Microbiological and Virological Knowledge-Based Alert Service.
Studies in health technology and informatics
Jun 29, 2023
Hospital wards need immediate information about multi-resistant pathogens and contagious viruses in their hospitalized patients. An alert service configurable with Arden-Syntax-based alert definitions passing through an ontology service to complement...
Diagnosis of coronavirus disease 2019 and the potential role of deep learning: insights from the experience of Cairo University Hospitals.
The Journal of international medical research
Jul 1, 2022
OBJECTIVES: Early detection of coronavirus disease 2019 (COVID-19) is crucial for patients and public health to ensure pandemic control. We aimed to correlate clinical and laboratory data of patients with COVID-19 and their polymerase chain reaction ...
Predictive Modeling of Pressure Injury Risk in Patients Admitted to an Intensive Care Unit.
American journal of critical care : an official publication, American Association of Critical-Care Nurses
Jul 1, 2020
BACKGROUND: Pressure injuries are an important problem in hospital care. Detecting the population at risk for pressure injuries is the first step in any preventive strategy. Available tools such as the Norton and Braden scales do not take into accoun...
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