AIMC Topic: Delivery of Health Care

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Challenges to implementing artificial intelligence in healthcare: a qualitative interview study with healthcare leaders in Sweden.

BMC health services research
BACKGROUND: Artificial intelligence (AI) for healthcare presents potential solutions to some of the challenges faced by health systems around the world. However, it is well established in implementation and innovation research that novel technologies...

Incorporating artificial intelligence in medical diagnosis: A case for an invisible and (un)disruptive approach.

Journal of evaluation in clinical practice
As big data becomes more publicly accessible, artificial intelligence (AI) is increasingly available and applicable to problems around clinical decision-making. Yet the adoption of AI technology in healthcare lags well behind other industries. The ga...

Planning and Selection of Facility Layout in Healthcare Services.

Hospital topics
Facility layout planning (FLP) is an integral part of the hospital layout design. The purpose of this article is to develop and elaborate a FLP method for a diabetes clinic using a case study approach. In this study, the Systematic Layout Planning (S...

A Micro Neural Network for Healthcare Sensor Data Stream Classification in Sustainable and Smart Cities.

Computational intelligence and neuroscience
A smart city is an intelligent space, in which large amounts of data are collected and analyzed using low-cost sensors and automatic algorithms. The application of artificial intelligence and Internet of Things (IoT) technologies in electronic health...

Can nurses in clinical practice ascribe responsibility to intelligent robots?

Nursing ethics
BACKGROUND: The twenty first- century marked the exponential growth in the use of intelligent robots and artificial intelligent in nursing compared to the previous decades. To the best of our knowledge, this article is first in responding to question...

A Synopsis of Artificial Intelligence and its Applications in Surgery.

The American surgeon
Artificial intelligence (AI) has made steady in-roads into the healthcare scenario over the last decade. While widespread adoption into clinical practice remains elusive, the outreach of this discipline has progressed beyond the physician scientist, ...

Development of lumbar spine MRI referrals vetting models using machine learning and deep learning algorithms: Comparison models vs healthcare professionals.

Radiography (London, England : 1995)
INTRODUCTION: Referrals vetting is a necessary daily task to ensure the appropriateness of radiology referrals. Vetting requires extensive clinical knowledge and may challenge those responsible. This study aims to develop AI models to automate the ve...

Environmental Affection-Driven English Tense Analysis: A Healthcare Exercise-Based Corpus Case Study over Public English Environment.

Journal of environmental and public health
Most international academic papers are written in English, and the use of tenses in English academic papers often follows some conventional rules. Automatically extracting and analyzing English tenses in scientific papers have begun to attract resear...