AIMC Topic: Hospitals
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Barriers and facilitators to implementing imaging-based diagnostic artificial intelligence-assisted decision-making software in hospitals in China: a qualitative study using the updated Consolidated Framework for Implementation Research.
BMJ open
Sep 10, 2024
OBJECTIVES: To identify the barriers and facilitators to the successful implementation of imaging-based diagnostic artificial intelligence (AI)-assisted decision-making software in China, using the updated Consolidated Framework for Implementation Re...
Artificial intelligence research in Canadian hospitals: The development of metropolitan competencies.
Healthcare management forum
Aug 22, 2024
This study explores the deployment of Artificial Intelligence (AI) in Canadian hospitals from 2000 to 2021, focusing on metropolitan areas. We investigate how local public and private research ecosystems and links to national and international AI hub...
Navigation benchmarking for autonomous mobile robots in hospital environment.
Scientific reports
Aug 7, 2024
The widespread adoption of robotic technologies in healthcare has opened up new perspectives for enhancing accuracy, effectiveness and quality of medical procedures and patients' care. Special attention has been given to the reliability of robots whe...
Implementing AI in Hospitals to Achieve a Learning Health System: Systematic Review of Current Enablers and Barriers.
Journal of medical Internet research
Aug 2, 2024
BACKGROUND: Efforts are underway to capitalize on the computational power of the data collected in electronic medical records (EMRs) to achieve a learning health system (LHS). Artificial intelligence (AI) in health care has promised to improve clinic...
Machine learning vs. regression models to predict the risk of Legionella contamination in a hospital water network.
Annali di igiene : medicina preventiva e di comunita
Jul 11, 2024
INTRODUCTION: The periodic monitoring of Legionella in hospital water networks allows preventive measures to be taken to avoid the risk of legionellosis to patients and healthcare workers.
The Future Role of Radiologists in the Artificial Intelligence-Driven Hospital.
Annals of biomedical engineering
Jun 7, 2024
Increasing population and healthcare costs make changes in the healthcare system necessary. This article deals with ChatGPT's perspective on the future role of radiologists in the AI-driven hospital. This perspective will be augmented by further cons...
Artificial Intelligence Can Be Regulated Using Current Patient Safety Procedures and Infrastructure in Hospitals.
JAMA health forum
Jun 7, 2024
Diagnosis of retinal damage using Resnet rescaling and support vector machine (Resnet-RS-SVM): a case study from an Indian hospital.
International ophthalmology
Apr 13, 2024
PURPOSE: This study aims to address the challenge of identifying retinal damage in medical applications through a computer-aided diagnosis (CAD) approach. Data was collected from four prominent eye hospitals in India for analysis and model developmen...
Multimodal deep learning-based diagnostic model for BPPV.
BMC medical informatics and decision making
Mar 21, 2024
BACKGROUND: Benign paroxysmal positional vertigo (BPPV) is a prevalent form of vertigo that necessitates a skilled physician to diagnose by observing the nystagmus and vertigo resulting from specific changes in the patient's position. In this study, ...
A hybrid modeling framework for generalizable and interpretable predictions of ICU mortality across multiple hospitals.
Scientific reports
Mar 8, 2024
The development of reliable mortality risk stratification models is an active research area in computational healthcare. Mortality risk stratification provides a standard to assist physicians in evaluating a patient's condition or prognosis objective...
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