AIMC Topic: Delivery of Health Care

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The Evolution of Patient Empowerment and Its Impact on Health Care's Future.

Journal of medical Internet research
In the 21st century, health care has been going through a paradigm shift called digital health. Due to major advances and breakthroughs in information technologies, most recently artificial intelligence, the patriarchy of the doctor-patient relations...

Perspectives and Experiences With Large Language Models in Health Care: Survey Study.

Journal of medical Internet research
BACKGROUND: Large language models (LLMs) are transforming how data is used, including within the health care sector. However, frameworks including the Unified Theory of Acceptance and Use of Technology highlight the importance of understanding the fa...

Potential for near-term AI risks to evolve into existential threats in healthcare.

BMJ health & care informatics
The recent emergence of foundation model-based chatbots, such as ChatGPT (OpenAI, San Francisco, CA, USA), has showcased remarkable language mastery and intuitive comprehension capabilities. Despite significant efforts to identify and address the nea...

Machine learning approach for optimizing usability of healthcare websites.

Scientific reports
In today's digital era, hospital websites serve as crucial informational resources, providing patients with easy access to medical services. Ensuring the usability of these websites is essential, as it directly impacts users' ability to navigate and ...

A NLP analysis of digital demand for healthcare jobs in China.

Scientific reports
The rapid growth of the healthcare industry in China has led to a significant talent gap, particularly in the areas of digital skills and management expertise. This study aims to bridge this gap by analyzing healthcare job listings using natural lang...

Artificial intelligence in cardiovascular practice.

JAAPA : official journal of the American Academy of Physician Assistants
Artificial intelligence (AI) is everywhere, but how is this expansive technology being used in cardiovascular care? This article explores common AI models, how they are transforming healthcare delivery, and important roles for clinicians, including a...

Optimized machine learning mechanism for big data healthcare system to predict disease risk factor.

Scientific reports
Heart disease is becoming more and more common in modern society because of factors like stress, inadequate diets, etc. Early identification of heart disease risk factors is essential as it allows for treatment plans that may reduce the risk of sever...

Improved security for IoT-based remote healthcare systems using deep learning with jellyfish search optimization algorithm.

Scientific reports
With an increased chronic disease and an ageing population, remote health monitoring is a substantial method to enhance the care of patients and decrease healthcare expenses. The Internet of Things (IoT) presents a promising solution for remote healt...

Barriers to and facilitators of clinician acceptance and use of artificial intelligence in healthcare settings: a scoping review.

BMJ open
OBJECTIVES: This study aimed to systematically map the evidence and identify patterns of barriers and facilitators to clinician artificial intelligence (AI) acceptance and use across the types of AI healthcare application and levels of income of geog...

Health Care Social Robots in the Age of Generative AI: Protocol for a Scoping Review.

JMIR research protocols
BACKGROUND: Social robots (SR), sensorimotor machines designed to interact with humans, can help to respond to the increasing demands in the health care sector. To ensure the successful use of this technology, acceptance is paramount. Generative arti...