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REVIEW article

Front. Med.
Sec. Healthcare Professions Education
Volume 12 - 2025 | doi: 10.3389/fmed.2025.1545420
This article is part of the Research Topic Enhancing Patient Care: Artificial Intelligence in Nursing View all articles

The integration of AI in nursing: Addressing current applications, challenges, and future directions

Provisionally accepted
Qiuying Wei Qiuying Wei Songcheng Pan Songcheng Pan *Xiaoyu Liu Xiaoyu Liu Mei Hong Mei Hong Chunying Nong Chunying Nong Weiqi Zhang Weiqi Zhang
  • First Affiliated Hospital, Guangxi Medical University, Nanning, Guangxi Zhuang Region, China

The final, formatted version of the article will be published soon.

    Artificial intelligence is increasingly influencing healthcare, providing transformative opportunities and challenges for nursing practice. This review critically evaluates the integration of AI in nursing, focusing on its current applications, limitations, and areas that require further investigation. A compreensive analysis of recent studies highlights the use of AI in clinical decision support systems, patient monitoring, and nursing education. However, several barriers to successful implementation are identified, including technical constraints, ethical dilemmas, and the need for workforce adaptation. Significant gaps in the literature are also evident, such as the limited development of nursing-specific AI tools, insufficient long-term impact assessments, and the absence of comprehensive ethical frameworks tailored to nursing contexts. The potential of AI to reshape personalized care, advance robotics in nursing, and address global health challenges is explored in depth. This review integrates existing knowledge and identifies critical areas for future research, emphasizing the necessity of aligning AI advancements with the specific needs of nursing. Addressing these gaps is essential to fully harness AI's potential while reducing associated risks, ultimately enhancing nursing practice and improving patient outcomes.

    Keywords: Nursing, artificial intelligence, healthcare, nursing practice, integration

    Received: 14 Dec 2024; Accepted: 13 Jan 2025.

    Copyright: © 2025 Wei, Pan, Liu, Hong, Nong and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Songcheng Pan, First Affiliated Hospital, Guangxi Medical University, Nanning, 530021, Guangxi Zhuang Region, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.