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  1. 8 sept. 2023 · Some of the impacts that can be evaluated and seen today in the context of using AI technology systems in the scope of nursing and healthcare are expanding access to quality medical care, improving medical records, and improving the quality of services.

  2. 18 nov. 2022 · These obstacles arise at all levels of AI adoption, including data collecting, technological development, clinical application, and ethical and societal concerns. This paper enlightens the drawbacks of AI in the healthcare industry besides its benefits.

  3. AI has numerous applications in nursing, where it can analyze large amounts of data, suggest best interventions, enhance quality and safety of care, facilitate learning and development, improve efficiency and productivity, and enhance nurses' satisfaction and well-being.

  4. 11 ian. 2022 · Impact on nursing: AI may more accurately predict fall risk without manual calculation and provide automatic warning systems. Challenges Although AI offers promising solutions to nursing, it’s not without its drawbacks.

  5. 8 sept. 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.

  6. 4 mai 2023 · Peer Review reports. Background. While artificial intelligence (AI) is being adapted for various life domains and applications related to medicine and healthcare [ 1, 2, 3 ], the use of AI in nursing practice is still scarce [ 4 ].

  7. 14 nov. 2019 · Risks and challenges. While AI offers a number of possible benefits, there also are several risks: Injuries and error. The most obvious risk is that AI systems will sometimes be wrong, and...

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