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- Increasing Trends of Artificial Intelligence With Robotic Process . . .
AI employs machine learning methods such as XGBoost, Support Vector Machines, and Artificial Neural Networks to analyze complex data and identify patterns that traditional statistical methods might miss XGBoost is a powerful tool for making accurate predictions by learning from the errors of previous models
- AI Tools in Nursing: A Systematic Review and Meta-Analysis
Key findings reveal that AI tools, particularly in predictive analytics, diagnostic assistance, and patient monitoring, have shown positive effects on reducing clinical errors, enhancing patient care, and supporting evidence-based practice
- Robotics in Nursing: A Bibliometric Analysis - PubMed
Methods: A bibliometric analysis of published research focused on robotics in nursing care was conducted to analyze the trends of publications A search of the Cumulative Index to Nursing and Allied Health Literature database was conducted This analysis was used to determine the types and extent of robotic research presented in nursing and
- Robotics in Nursing: A Bibliometric Analysis - Lafayette College
This analysis was used to determine the types and extent of robotic research presented in nursing and allied health literature, journals that publish robotic research, and the origins of the study
- Assistive robotic systems in nursing care: a scoping review
Assistive robotic systems can be divided into six fields of application: Information and patient data processing, assistance with activities of daily living, fetch and bring activities, telepresence and communication, monitoring, safety and navigation, and complex assistance systems
- The role of statistical analysis in modern nursing research
Statistical software packages allow statisticians to conduct data analysis much faster and with better accuracy In addition, the ease of use of most statistical software applications provides non‐statisticians with the ability to conduct their own data analysis
- Data Science Trends Relevant to Nursing Practice: A Rapid Review of the . . .
We used the following terms to create that strategy: data science, data analytics, artificial intelligence (AI), machine learning (ML), risk assessment, decision-support techniques, clinical prediction rule, natural language processing (NLP), computer-assisted image processing, along with analytic, forecast, prediction, risk, and statistical
- ROBOTICS AND THE IMPACT ON NURSING PRACTICE - ANA Enterprise
tific literature to investigate how robotics are currently being used to support nursing care Three pilot sites that have implemented service robots were visited; qualitative data was collected from nurses, staff, and leadership; and nursing researchers were interviewed to examine the current state of service robots to support nurses
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