Skip to main content

Call for papers - Artificial intelligence and nursing practice

Guest Editors

Abdulqadir J. Nashwan, PhD, MSc, RN, Hamad Medical Corporation, Qatar
Kathrin Seibert, DPH, MSc, RN, University of Bremen, Germany

Submission Status: Open   |   Submission Deadline: 27 January 2025

BMC Nursing is calling for submissions to our Collection, Artificial intelligence and nursing practice. This collection explores the diverse applications of AI in nursing; ranging from innovative clinical interventions to ethical considerations and implications for healthcare delivery.



New Content ItemThis Collection supports and amplifies research related to SDG 3: Good Health and Well-being

Meet the Guest Editors

Back to top

Abdulqadir J. Nashwan, PhD, MSc, RN, Hamad Medical Corporation, Qatar

As the Director of Nursing for Education and Practice Development at Hamad Medical Corporation, Dr Nashwan holds additional roles as the Hospital Research Officer and Chair of the Hospital Research Advisory Committee at HMGH.  He has actively contributed as an editor, peer reviewer, and Editorial Board Member for BMC Nursing, influencing research direction in nursing and healthcare. His current research focuses on integrating artificial intelligence in healthcare, aiming to enhance patient care, healthcare efficiency, employing cutting-edge technology to improve diagnostics, treatment personalization, and workflow optimization in nursing practices.

Kathrin Seibert, DPH, MSc, RN, University of Bremen, Germany

Kathrin is a nursing scientist with a PhD in Public Health and has been conducting research on the use and effects of digital technologies in nursing at the Institute for Public Health and Nursing Research at the University of Bremen. She is particularly interested in the effectiveness and real-world impact of AI-tools on nursing practice. Since 2021, she has been involved in the ProKIP project in the German Federal Ministry of Education and Research's funding program "Making repositories and AI systems usable in everyday nursing care", providing scientific support to AI-in-Nursing-Care research projects.

About the Collection

BMC Nursing is calling for submissions to our Collection, Artificial intelligence and nursing practice.

In recent years, the integration of Artificial Intelligence (AI) technologies into healthcare has offered unprecedented opportunities to enhance the clinical nursing practice. The integration of AI into nursing practice holds the potential to improve clinical outcomes, streamline processes, and optimize the delivery of care. We invite submissions that explore the diverse applications of AI in nursing; ranging from innovative clinical interventions to ethical considerations and implications for healthcare delivery.

Continued exploration of AI applications could provide novel solutions to challenges that nurses face in patient care, resource optimization, and clinical decision-making. Interdisciplinary research in AI might successfully contribute to the development of personalized treatment plans, early detection of patient conditions, and improved diagnostic accuracy. At the same time, further integration of AI-driven technologies might also impose new challenges to creating an innovative patient-centered healthcare ecosystem. 

We invite contributions that examine a wide range of topics relating to the impact of AI on nursing practice, including but not limited to:

  • Nursing informatics in AI implementation
  • Machine learning applications in nursing practice
  • Robotics and automation in healthcare workflows
  • Predictive analytics for clinical decision support in nursing
  • Human-machine collaboration in nursing care
  • Virtual health assistants in patient education
  • Ethical considerations in AI adoption for nursing
  • Natural language processing for clinical documentation
  • Smart health technologies and nursing interventions
  • Integrating AI in nursing for enhanced patient outcomes
  • Processual and translational considerations to support AI readiness of long-term care services


This collection supports and amplifies research related to SDG 3: Good Health and Well-being

Image credit: © Minerva Studio / stock.adobe.com

  1. Scholars have become increasingly interested in incorporating robots into healthcare. While there is a growing body of research examining nurses’ and patients’ attitudes towards using robots in healthcare, no ...

    Authors: Heba Emad El-Gazar, Shymaa Abdelhafez, Amira Mohammed Ali, Mona Shawer, Talal Ali F. Alharbi and Mohamed Ali Zoromba
    Citation: BMC Nursing 2024 23:718
    Content type: Research Published on:

  2. A paradigm shift in nursing education is required to prepare Z generation of nursing students through integrated innovative technologies as teaching strategies such as immersive virtual reality in several bios...

    Authors: Samar Thabet Jallad, Israa Natsheh, Lareen Abu Helo, Dania Mahmoud Ibdah, Amna Salah, Rasha Muhsen, Younes Shehadeh and Naeem Froukh
    Citation: BMC Nursing 2024 23:601
    Content type: Research Published on:

  3. In recent years, increased attention has been given to using deep learning (DL) of artificial intelligence (AI) in healthcare to address nursing challenges. The adoption of new technologies in nursing needs to...

    Authors: Supichaya Wangpitipanit, Jiraporn Lininger and Nick Anderson
    Citation: BMC Nursing 2024 23:529
    Content type: Research Published on:

  4. Artificial intelligence is rapidly advancing and being integrated into healthcare, potentially revolutionizing patient care and improving outcomes by leveraging large datasets and complex algorithms.

    Authors: Amal Diab Ghanem Atalla, Ayman Mohamed El-Ashry and Samia Mohamed Sobhi Mohamed
    Citation: BMC Nursing 2024 23:488
    Content type: Research Published on:

Submission Guidelines

Back to top

This Collection welcomes submission of original Research Articles. Should you wish to submit a different article type, please read our submission guidelines to confirm that type is accepted by the journal. Articles for this Collection should be submitted via our submission system, Snapp. During the submission process you will be asked whether you are submitting to a Collection, please select "Artificial intelligence and nursing practice" from the dropdown menu.

Articles will undergo the journal’s standard peer-review process and are subject to all of the journal’s standard policies. Articles will be added to the Collection as they are published.

The Editors have no competing interests with the submissions which they handle through the peer review process. The peer review of any submissions for which the Editors have competing interests is handled by another Editorial Board Member who has no competing interests.