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  1. Nursing researchers should focus on the use and impact of AI in nursing and the impacts related to workforce, clinical and patient health outcomes as well as making the AI lifecycle explainable, from AI conception to implementation.

  2. 20 gru 2023 · Embracing AI can greatly enhance nursing practice in several key areas. First, AI-powered clinical decision support systems can provide nurses with valuable insights and evidence-based recommendations, helping them make informed decisions about delivering patient care (Van Bulck et al., 2023).

  3. 1 sie 2024 · This paper delves into the potential benefits and challenges of incorporating AI in nursing, highlighting the opportunities for improved patient outcomes alongside the ethical and human-centric concerns that require thoughtful attention.

  4. 8 wrz 2023 · Research and development of artificial intelligence (AI)-based technologies systems in healthcare has increased over the past decade, highlighting the strong potential of AI to improve the quality of nursing care.

  5. 1 sie 2024 · This study aimed to clarify the meaning of deep learning and identify the defining attributes of artificial intelligence within nursing. We conducted a concept analysis of the deep learning of AI in nursing care using Walker and Avant’s 8-step approach.

  6. Artificial intelligence (AI) stands to significantly improve nursing documentation, streamlining workflows, and enhancing patient care. First, AI can automate the tedious aspects of documentation, allowing nurses to spend more time on patient care.

  7. 5 lip 2024 · AI technologies, including natural language processing, deep learning, machine learning, and predictive analytics, can be utilized to improve the efficiency and accuracy of nursing interventions, educate nursing students, and assist in nursing research (Robert, 2019).

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