The Invisible Human-in-the-Loop: An Evolutionary Concept Analysis of Artificial Intelligence in Nursing Assistant Practice - Cureus
A concept analysis of artificial intelligence in nursing assistant practice has been published, exploring the role of human-in-the-loop in AI systems. The study aims to understand the evolution of AI in nursing practice.
- A concept analysis of AI in nursing assistant practice has been published
- The study explores the role of human-in-the-loop in AI systems
- The analysis highlights the importance of human oversight in AI adoption
- The study's findings can inform the development of AI systems for nursing practice
The study examines the integration of artificial intelligence in nursing practice, focusing on the human-in-the-loop concept. This concept refers to the involvement of human decision-making and oversight in AI systems.
The analysis highlights the importance of understanding the role of human-in-the-loop in AI systems, particularly in high-stakes environments like healthcare. By exploring the evolution of AI in nursing practice, the study aims to provide insights into the potential benefits and challenges of AI adoption.
The publication of this study is significant, as it contributes to the growing body of research on AI in healthcare. The findings of the study can inform the development of AI systems that are designed to support nursing practice, while also ensuring patient safety and well-being.
The study's focus on the human-in-the-loop concept underscores the need for AI systems to be designed with human oversight and decision-making in mind. This approach can help to mitigate the risks associated with AI adoption, while also maximizing the benefits of AI in nursing practice.
students of healthcare and AI
those interested in AI in healthcare
- human-in-the-loop
- the involvement of human decision-making and oversight in AI systems
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