Nursing & Artificial Intelligence Leadership

To reimagine and transform nursing with AI

We focus on nurses — the largest sector of healthcare providers worldwide — and believe that every nurse has the right to use cutting-edge AI tools to advance people's health. Our mission is to advocate, educate, and study health AI tools to make them safe, equitable, and user-friendly.

2019Founded at the Brocher Foundation think-tank, Geneva
5International co-founders across three countries
5AINurse workshop editions, co-located with AIME

News & highlights

Publication

Topaz, Peltonen et al. publish CITADEL study on fabricated citations in The Lancet

Presentation

Max Topaz delivers TEDx talk on AI and nursing

Workshop

AINurse-26 accepted at AIME 2026 — July 10, 2026, Ottawa

Publication

Michalowski, Topaz & Peltonen: An AI-Enabled Nursing Future with No Documentation Burden

Upcoming

Jul10

AINurse-26 Workshop

AIME 2026 · Ottawa, Canada

Join the conversationFollow the NAIL Collaborative on LinkedIn

Recent publications

The Lancet · 2026

CITADEL: Fabricated citations — an automated audit of citation integrity across 2.5 million biomedical papers

Topaz, Roguin, Gupta, Zhang, Peltonen
J. Advanced Nursing · 2025

An AI-Enabled Nursing Future with No Documentation Burden: A Vision for a New Reality

Michalowski M., Topaz M., Peltonen L.M.
J. Nursing Scholarship · 2025

The Overlooked Dark Side of Generative AI in Nursing: An International Think Tank's Perspective

Topaz M., Peltonen L.M., Michalowski M. et al.

Get involved

Interested in membership, research collaboration, speaking, or sponsorship? The NAIL Collaborative welcomes nurses, researchers, students, and partners who share our mission.

Stay current

News & highlights

Announcements, publications, workshops, and milestones from the NAIL Collaborative

Publication

Topaz, Peltonen et al. publish CITADEL study: an automated audit finds 4,046 fabricated citations in biomedical literature, rising 12× in three years

Presentation

Max Topaz delivers TEDx talk on AI and nursing

Workshop

AINurse-26 accepted at AIME 2026 — July 10, 2026, Ottawa, Canada

Publication

Michalowski, Topaz & Peltonen: An AI-Enabled Nursing Future with No Documentation Burden (Journal of Advanced Nursing, 2025)

Publication

Topaz, Peltonen, Michalowski et al.: The Overlooked Dark Side of Generative AI in Nursing (Journal of Nursing Scholarship, 2025)

Workshop

AINurse-25 held in Pavia, Italy — co-located with AIME 2025

Announcement

NAIL members participate in AI and Nursing Science Workshop at Penn Nursing, Philadelphia

Announcement

NAIL Collaborative members participate in Brocher Foundation invitational workshop, Geneva

Announcement

NAIL participates in NHS England AIR Roundtable for Nursing and Midwifery

Workshop

AINurse-24 held in Salt Lake City, UT — co-located with AIME 2024

Workshop

AINurse-23 held in Portorož, Slovenia — co-located with AIME 2023

The people

Leadership group

Co-founders of the NAIL Collaborative

Charlene Ronquillo

Charlene Ronquillo

PhD, RN
The University of British Columbia – Okanagan, Canada

Health informatician whose research focuses on health informatics, nursing, and health equity, underpinned by critical theory and implementation science. A key aim in their program of work is to ensure meaningful inclusion of non-dominant groups in the discourses, design, development, and implementation of health technologies. Charlene has experience using mixed methods, participatory, and co-production research and software design/development methods.

Laura-Maria Peltonen

Laura-Maria Peltonen

PhD, RN, FEANS, FIAHSI
University of Eastern Finland

Her research focuses on the responsible, human-centred integration of artificial intelligence in healthcare, with emphasis on the clinical evaluation of digital health solutions on patient, service and workforce outcomes. She is President-Elect of the International Academy of Health Sciences Informatics, Chair of the Nursing Informatics Working Group and Institutional Members Officer at the European Federation for Medical Informatics.

Lisiane Pruinelli

Lisiane Pruinelli

PhD, MS, RN, FAMIA
University of Florida, Gainesville, FL, USA

Associate Professor in the College of Nursing with a joint appointment in the College of Medicine at the University of Florida, and part of UFHealth AI. A Fellow of the American Medical Informatics Association with over 10 years of clinical experience in multi-transplant organ coordination and information systems. Her expertise applies cutting-edge data science methods to investigate the trajectory of complex disease conditions suitable for clinical implementation.

Martin Michalowski

Martin Michalowski

PhD, FAMIA, FIAHSI
University of Minnesota School of Nursing, Minneapolis, MN, USA

Foundation Research Professor, Co-Director of the Center for Nursing Informatics, and Co-Leader of the Digital Health Lab at the University of Minnesota. Research spans information integration, record linkage, heuristic-based planning, constraint satisfaction problems, large language models, and AI methods in nursing informatics. Earned his PhD in Computer Science from USC; AAAI Senior Member (2018), FAMIA (2021), FIAHSI (2024). Author of over 100 peer-reviewed articles.

Maxim Topaz

Maxim (Max) Topaz

PhD, RN, MA, FAAN, FIAHSI
Columbia University Medical Center, New York, NY, USA

Elizabeth Standish Gill Associate Professor of Nursing at Columbia University Medical Center, affiliated with the Columbia University Data Science Institute and the Center for Home Care Policy & Research at the Visiting Nurse Service of New York. Research focuses on data science and innovative uses of text and data mining to improve human health. One of the pioneers in applying natural language and speech processing to data generated by nurses.

The research

Publications

Selected peer-reviewed research, reviews, and position papers from NAIL members

2026

CITADEL: An automated audit of citation integrity across 2.5 million biomedical papers uncovers 4,046 fabricated citations — growing more than 12× in three years

Topaz M., Roguin A., Gupta M., Zhang Z., Peltonen L.M.
The Lancet, Vol 407, May 9, 2026
@article{topaz2026citadel, title={CITADEL: An automated audit of citation integrity across 2.5 million biomedical papers}, author={Topaz, Maxim and Roguin, Ariel and Gupta, Mohan and Zhang, Zhan and Peltonen, Laura-Maria}, journal={The Lancet}, volume={407}, year={2026}, doi={10.1016/S0140-6736(26)00603-3} }
2025

An AI-Enabled Nursing Future with No Documentation Burden: A Vision for a New Reality

Michalowski M., Topaz M., Peltonen L.M.
Journal of Advanced Nursing
DOI
@article{michalowski2025ainursing, title={An AI-Enabled Nursing Future with No Documentation Burden: A Vision for a New Reality}, author={Michalowski, Martin and Topaz, Maxim and Peltonen, Laura-Maria}, journal={Journal of Advanced Nursing}, year={2025}, doi={10.1111/jan.16911} }
2025

The Overlooked Dark Side of Generative AI in Nursing: An International Think Tank's Perspective

Topaz M., Peltonen L.M., Michalowski M., Pruinelli L., Ronquillo C.E., Zhang Z., Babic A.
Journal of Nursing Scholarship
DOI
@article{topaz2025darkside, title={The Overlooked Dark Side of Generative AI in Nursing: An International Think Tank's Perspective}, author={Topaz, Maxim and Peltonen, Laura-Maria and Michalowski, Martin and others}, journal={Journal of Nursing Scholarship}, year={2025}, doi={10.1111/jnu.70016} }
2023

Using graph rewriting to operationalize medical knowledge for the revision of concurrently applied clinical practice guidelines

Michalowski M., Rao M., Wilk S., Michalowski W., Carrier M.
Artificial Intelligence in Medicine, 140, 102550
DOI
@article{michalowski2023graph, title={Using graph rewriting to operationalize medical knowledge for the revision of concurrently applied clinical practice guidelines}, author={Michalowski, Martin and Rao, Morvarid and Wilk, Szymon and Michalowski, Wojtek and Carrier, Marc}, journal={Artificial Intelligence in Medicine}, volume={140},pages={102550},year={2023},doi={10.1016/j.artmed.2023.102550} }
2023

ADscreen: A speech processing-based screening system for automatic identification of patients with Alzheimer's disease and related dementia

Zolnoori M., Zolnour A., Topaz M.
Artificial Intelligence in Medicine, 143, 102624
DOI
@article{zolnoori2023adscreen, title={ADscreen: A speech processing-based screening system for automatic identification of patients with Alzheimer's disease and related dementia}, author={Zolnoori, Maryam and Zolnour, Ali and Topaz, Maxim}, journal={Artificial Intelligence in Medicine},volume={143},pages={102624},year={2023} }
2023

Home Health Care Clinicians' Use of Judgment Language for Black and Hispanic Patients: Natural Language Processing Study

Topaz M., Song J., Davoudi A., McDonald M., Taylor J., Sittig S., Bowles K.
JMIR Nursing, 6, e42552
DOI
@article{topaz2023judgment, title={Home Health Care Clinicians' Use of Judgment Language for Black and Hispanic Patients: Natural Language Processing Study}, author={Topaz, Maxim and Song, Jiyoun and others}, journal={JMIR Nursing},volume={6},pages={e42552},year={2023} }
2023

Machine learning applied to electronic health record data in home healthcare: A scoping review

Hobensack M., Song J., Scharp D., Bowles K.H., Topaz M.
International Journal of Medical Informatics, 170, 104978
PubMed
@article{hobensack2023machine, title={Machine learning applied to electronic health record data in home healthcare: A scoping review}, author={Hobensack, Mollie and Song, Jiyoun and Scharp, Danielle and Bowles, Kathryn H. and Topaz, Maxim}, journal={International Journal of Medical Informatics},volume={170},pages={104978},year={2023} }
2022

Artificial intelligence in health care: Implications for nurse managers

Peltonen L.M., Topaz M.
Journal of Nursing Management, 30(8), 3641–3643
PubMed
@article{peltonen2022ai, title={Artificial intelligence in health care: Implications for nurse managers}, author={Peltonen, Laura-Maria and Topaz, Maxim}, journal={Journal of Nursing Management},volume={30},number={8},pages={3641--3643},year={2022} }
2021

Artificial intelligence in nursing: priorities and opportunities from an international invitational think-tank of the Nursing and Artificial Intelligence Leadership Collaborative

Ronquillo C., Peltonen L.M., Pruinelli L., Chu C.H., Bakken S., Beduschi A., Cato K., Hardiker N., Junger A., Michalowski M., Moyle W., Peek N., Pishukova A., Rhee H.L., Riahi S., Topaz M.
Journal of Advanced Nursing, 77(7), 3161–3175
@article{ronquillo2021ai, title={Artificial intelligence in nursing: priorities and opportunities from an international invitational think-tank of the Nursing and Artificial Intelligence Leadership Collaborative}, author={Ronquillo, Charlene and Peltonen, Laura-Maria and Pruinelli, Lisiane and others}, journal={Journal of Advanced Nursing},volume={77},number={7},pages={3161--3175},year={2021},doi={10.1111/jan.14855} }
Where we gather

Events

Workshops, conferences, courses, and think-tanks

Upcoming
Jul102026
Upcoming

AINurse-26: Fifth International Workshop on AI in Nursing

Ottawa, Canada · Co-located with AIME 2026

The fifth iteration of the AINurse workshop series will comprehensively explore AI technologies applied to nursing data and practice, including a keynote, panel, and research presentations. Organizers: Michalowski, Peltonen, Pruinelli, Ronquillo, Topaz.

Workshop website
Past
Jun262025
Past

AINurse-25: Fourth Workshop on AI in Nursing

Pavia, Italy · Co-located with AIME 2025

Comprehensively explored AI technologies applied to nursing data and practice. Included a keynote, a dedicated panel addressing current trends in nursing and AI, and discussions to identify future research directions for enhancing patient outcomes through AI.

Workshop website
Jan302025
Past

AI and Nursing Science Workshop

Philadelphia, PA, USA · Penn Nursing

NAIL Collaborative members participated in this invitational workshop convening leading nurse scientists, AI experts, ethicists, and policymakers to explore AI's evolving role in nursing research, education, and practice.

Nov132024
Past

Embedding nursing expertise in AI-based health technology development

Geneva, Switzerland · Brocher Foundation · Nov 13–15, 2024

Invitational workshop to identify the role nursing expertise plays in developing AI-based health technologies and determine how to embed nursing expertise in those technologies. Considered ethical, legal, and social implications.

Event page
2024NHS
UK
Past

NHS England AIR Roundtable for Nursing and Midwifery

United Kingdom · NHS England

Dr. Maxim Topaz and Dr. Charlene Ronquillo were invited as experts to the Artificial Intelligence in Reality (AIR) Roundtable for Nursing and Midwifery. This event convened leading authorities in nursing informatics to deliberate on advancing AI integration in nursing and midwifery practices.

Jul122024
Past

AINurse-24: Third Workshop on AI in Nursing

Salt Lake City, UT, USA · Co-located with AIME 2024

Featured a keynote by Prof. Gregor Štiglic on generative AI in nursing education and clinical use, and a dedicated panel on the practical and ethical implications of large language models such as ChatGPT in nursing.

Workshop website
2023HOIT
2121
Past

Nursing Knowledge Management and Health Service Research Course

Turku, Finland · University of Turku

Postgraduate course (HOIT2121) organized by the NAIL Collaborative, delivered in English as part of the Doctorate in Nursing curriculum. Structured as 8h lectures, 8h seminars, and 90h independent work, focusing on applying research methodology to knowledge management in health services.

Course page
Jun152023
Past

AINurse-23: Second Workshop on AI in Nursing

Portorož, Slovenia · Co-located with AIME 2023

Focus was on research using AI technologies based on nursing data or intended for use by nurses. Included current AI applications, cutting-edge methods, and a panel on large language models like ChatGPT in nursing.

Workshop website
2022AIME
HAL
Past

AINurse-22: First Workshop on AI in Nursing — Advances, Methods and Path Forward

Halifax, Canada · Co-located with AIME 2022

The inaugural AINurse workshop provided a platform for discussions about recent advances, cutting-edge AI methods, and charting a path forward. Included paper presentations, invited talks, panels, demos, and general discussion.

Workshop website
Oct232019
Past

AI in Nursing: Social, Ethical and Legal Implications — Founding Think-Tank

Geneva, Switzerland · Brocher Foundation · Oct 23–25, 2019

The first international invitational expert think-tank organized by the NAIL Collaborative. Invited 19 interdisciplinary participants from Canada, Finland, Switzerland, the United States, and the United Kingdom. Output was the highly cited foundational paper published in the Journal of Advanced Nursing (doi:10.1111/jan.14855).

Published paper
Start exploring

Resources

A curated starting point for nurses, researchers, students, and leaders exploring AI in nursing

Read — key papers from the collaborative
Watch
Attend — the AINurse workshop series

Our annual workshop co-located with the AIME conference, running since 2022

Connect
Our supporters

Sponsors

Organizations supporting NAIL Collaborative initiatives

Say hello

Contact

Get in touch with the NAIL Collaborative

General inquiries

For questions about the collaborative, research, membership, or sponsorship opportunities, reach us at ainurse@nailcollab.org

LinkedIn

Follow the NAIL Collaborative on LinkedIn for updates, news, and community discussion

Speaking opportunities

Interested in inviting NAIL members to speak at your event or institution? Reach us at ainurse@nailcollab.org or contact leadership members directly.

Community

Photos from NAIL workshops, conferences, and collaborative meetings around the world