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Health Personnel

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Multi-Level Ethical Considerations of Artificial Intelligence Health Monitoring for People Living with Parkinson's Disease.

AJOB empirical bioethics
Artificial intelligence (AI) has garnered tremendous attention in health care, and many hope that AI can enhance our health system's ability to care for people with chronic and degenerative conditions, including Parkinson's Disease (PD). This paper r...

What is the future of artificial intelligence in obstetrics? A qualitative study among healthcare professionals.

BMJ open
OBJECTIVE: This work explores the perceptions of obstetrical clinicians about artificial intelligence (AI) in order to bridge the gap in uptake of AI between research and medical practice. Identifying potential areas where AI can contribute to clinic...

[Artificial intelligence in internal medicine : From the theory to practical application in practices and hospitals].

Innere Medizin (Heidelberg, Germany)
The integration of artificial intelligence (AI) technologies has the potential to improve both the efficiency and the quality of medical care. Applications of AI have already become established in various specialized fields in internal medicine, wher...

Systems that evaluate international equivalency in health-related professions: a scoping review with a focus on Canada.

Human resources for health
Health workforce planning has become a significant global problem considering there are estimates of an 18 million healthcare provider shortfall by 2030. There are two mechanisms to address healthcare worker shortages: (1) domestic education of those...

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.

Prompt Engineering as an Important Emerging Skill for Medical Professionals: Tutorial.

Journal of medical Internet research
Prompt engineering is a relatively new field of research that refers to the practice of designing, refining, and implementing prompts or instructions that guide the output of large language models (LLMs) to help in various tasks. With the emergence o...

Semi-TMS: an efficient regularization-oriented triple-teacher semi-supervised medical image segmentation model.

Physics in medicine and biology
. Although convolutional neural networks (CNN) and Transformers have performed well in many medical image segmentation tasks, they rely on large amounts of labeled data for training. The annotation of medical image data is expensive and time-consumin...

Challenges for future directions for artificial intelligence integrated nursing simulation education.

Korean journal of women health nursing
Artificial intelligence (AI) has tremendous potential to change the way we train future health professionals. Although AI can provide improved realism, engagement, and personalization in nursing simulations, it is also important to address any issues...

Performance of ChatGPT-4 in answering questions from the Brazilian National Examination for Medical Degree Revalidation.

Revista da Associacao Medica Brasileira (1992)
OBJECTIVE: The aim of this study was to evaluate the performance of ChatGPT-4.0 in answering the 2022 Brazilian National Examination for Medical Degree Revalidation (Revalida) and as a tool to provide feedback on the quality of the examination.

Revolutionizing healthcare: the role of artificial intelligence in clinical practice.

BMC medical education
INTRODUCTION: Healthcare systems are complex and challenging for all stakeholders, but artificial intelligence (AI) has transformed various fields, including healthcare, with the potential to improve patient care and quality of life. Rapid AI advance...