Title: Clinical Nursing Care Enhancement Using Contemporary Artificial Intelligence and Robotics Technologies
Objectives :
The main aim of this review research project is to investigate the current state of deployment of new artificial intelligence and robotics technologies in nursing care. The advantages and the benefits of utilization of AI systems are explored in addition to addressing the challenges, and that to expand the theoretical foundation of one of the most significant workforce required to be evolved. We will present the potential new AI-based technologies which will have a positive impact on Nursing care and how these systems can be integrated into current nursing settings. Research questions. Furthermore, deployment issues, challenges, and limitations will be addressed to provide a solid understanding of the opportunities for involvement in intelligent systems in nursing care and how to overcome these obstacles.
Research Questions:
The formulated research questions will support a better understanding of the topic of the thesis.
– To what extent, new Artificial Intelligence-based technologies have been utilized as an integral component of the Nursing care system.
– What are the potential AI-empowered and Robotics applications that can be integrated into the context of Nursing care and what effects can be measured in terms of service outcomes
– What are the barriers, challenges, reliability issues, safety concerns, ethical and legal, and social implications of using AI systems in Nursing care
1.Introduction
1.1 Nursing roles in health care systems
1.2 Current usage of Intelligent technologies in Nursing care
2. Artificial Intelligence and Robotics in Nursing Care
2.1. An overview of emerging AI technologies
2.2. The potential of AI-enabled technologies in Nursing care
2.3. Utilization of the capabilities of Robotics
3. Challenges of AI applications Nursing care
3.1 Reliability Concerns
3.1 Ethical and Legal Issues
4. Conclusion
5. Reference List
— Most of the References should be scientific journal papers published with accepted quality
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