AIMC Topic: Health Personnel
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Liability of Health Professionals Using Sensors, Telemedicine and Artificial Intelligence for Remote Healthcare.
Sensors (Basel, Switzerland)
May 28, 2024
In the last few decades, there has been an ongoing transformation of our healthcare system with larger use of sensors for remote care and artificial intelligence (AI) tools. In particular, sensors improved by new algorithms with learning capabilities...
Natural Language Processing for Work-Related Stress Detection Among Health Professionals: Protocol for a Scoping Review.
JMIR research protocols
May 15, 2024
BACKGROUND: There is an urgent need worldwide for qualified health professionals. High attrition rates among health professionals, combined with a predicted rise in life expectancy, further emphasize the need for additional health professionals. Work...
Automated machine learning model for fundus image classification by health-care professionals with no coding experience.
Scientific reports
May 6, 2024
To assess the feasibility of code-free deep learning (CFDL) platforms in the prediction of binary outcomes from fundus images in ophthalmology, evaluating two distinct online-based platforms (Google Vertex and Amazon Rekognition), and two distinct da...
Navigating the impact of artificial intelligence on our healthcare workforce.
Journal of clinical nursing
Apr 25, 2024
Large Language Models and User Trust: Consequence of Self-Referential Learning Loop and the Deskilling of Health Care Professionals.
Journal of medical Internet research
Apr 25, 2024
As the health care industry increasingly embraces large language models (LLMs), understanding the consequence of this integration becomes crucial for maximizing benefits while mitigating potential pitfalls. This paper explores the evolving relationsh...
Personalized Machine Learning-Based Prediction of Wellbeing and Empathy in Healthcare Professionals.
Sensors (Basel, Switzerland)
Apr 20, 2024
Healthcare professionals are known to suffer from workplace stress and burnout, which can negatively affect their empathy for patients and quality of care. While existing research has identified factors associated with wellbeing and empathy in health...
ChatGPT/GPT-4 (large language models): Opportunities and challenges of perspective in bariatric healthcare professionals.
Obesity reviews : an official journal of the International Association for the Study of Obesity
Apr 12, 2024
ChatGPT/GPT-4 is a conversational large language model (LLM) based on artificial intelligence (AI). The potential application of LLM as a virtual assistant for bariatric healthcare professionals in education and practice may be promising if relevant ...
[Artificial intelligence in intensive care medicine].
Medizinische Klinik, Intensivmedizin und Notfallmedizin
Mar 28, 2024
The integration of artificial intelligence (AI) into intensive care medicine has made considerable progress in recent studies, particularly in the areas of predictive analytics, early detection of complications, and the development of decision suppor...
Implications of conscious AI in primary healthcare.
Family medicine and community health
Mar 14, 2024
The conversation about consciousness of artificial intelligence (AI) is an ongoing topic since 1950s. Despite the numerous applications of AI identified in healthcare and primary healthcare, little is known about how a conscious AI would reshape its ...
Increasing employment opportunity for persons with spinal cord injury by digital working: an exampling case series from Thailand.
Spinal cord series and cases
Mar 9, 2024
INTRODUCTION: Due to activity limitations and physical environmental barriers, low remunerative employment is a challenging issue for people with spinal cord injury (SCI) and relevant rehabilitation personnel. Since work opportunities in digital fiel...
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