AIMC Topic: Delivery of Health Care

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Healthcare Big Data in Hong Kong: Development and Implementation of Artificial Intelligence-Enhanced Predictive Models for Risk Stratification.

Current problems in cardiology
Routinely collected electronic health records (EHRs) data contain a vast amount of valuable information for conducting epidemiological studies. With the right tools, we can gain insights into disease processes and development, identify the best treat...

The role of innovative technologies in reducing health system inequity.

Healthcare management forum
The scarcity of Health Human Resources (HHR), regional disparities, and decentralized healthcare systems have profoundly affected health equity in Canada. Adequate HHR allocation is essential for equitable healthcare delivery, and the COVID-19 pandem...

Beyond ChatGPT: What does GPT-4 add to healthcare? The dawn of a new era.

Cardiology journal
Over the past few years, artificial intelligence (AI) has significantly improved healthcare. Once the stuff of science fiction, AI is now widely used, even in our daily lives - often without us thinking about it. All healthcare professionals - especi...

Emerging applications of machine learning in genomic medicine and healthcare.

Critical reviews in clinical laboratory sciences
The integration of artificial intelligence technologies has propelled the progress of clinical and genomic medicine in recent years. The significant increase in computing power has facilitated the ability of artificial intelligence models to analyze ...

Evaluating the Use of a Robot in a Hematological Intensive Care Unit: A Pilot Study.

Sensors (Basel, Switzerland)
The aim of the SYRIACA project was to test the capability of a social robot to perform specific tasks in healthcare settings, reducing infection risks for patients and caregivers. The robot was piloted in an Intensive Hematological Unit, where the pa...

Implications of the Use of Artificial Intelligence Predictive Models in Health Care Settings : A Simulation Study.

Annals of internal medicine
BACKGROUND: Substantial effort has been directed toward demonstrating uses of predictive models in health care. However, implementation of these models into clinical practice may influence patient outcomes, which in turn are captured in electronic he...

Healthcare professionals' experiences and perceptions of artificial intelligence in regional and rural health districts in Australia.

The Australian journal of rural health
INTRODUCTION: A greater understanding of Australian healthcare professionals' perceptions of artificial intelligence (AI) is needed to identify the challenges ahead as this new technology finds its way into healthcare delivery.

The enlightening role of explainable artificial intelligence in medical & healthcare domains: A systematic literature review.

Computers in biology and medicine
In domains such as medical and healthcare, the interpretability and explainability of machine learning and artificial intelligence systems are crucial for building trust in their results. Errors caused by these systems, such as incorrect diagnoses or...

The Role of Artificial Intelligence and Machine Learning in Assisted Reproductive Technologies.

Obstetrics and gynecology clinics of North America
Artificial intelligence (AI) and machine learning, the form most commonly used in medicine, offer powerful tools utilizing the strengths of large data sets and intelligent algorithms. These systems can help to revolutionize delivery of treatments, ac...