Submit Your Work
AINurse-26 solicits original research papers on AI in nursing and healthcare. All submissions will be peer-reviewed by at least two Program Committee members. Key dates and criteria are below.
Review Criteria
All papers evaluated on:
- Relevance to the workshop theme
- Originality and novelty
- Methodological quality
- Clarity of presentation
- Potential for clinical or research impact
- Interdisciplinary integration of AI and nursing
Priority will be given to work that bridges AI research and clinical implementation. Conflicts of interest are managed by excluding committee members from reviewing submissions involving collaborators or institutional colleagues.
Workshop Chairs
All chairs are co-founders of the Nursing and Artificial Intelligence Leadership (NAIL) Collaborative and co-chairs of the prior four AINurse workshops.
Martin Michalowski
Research in AI methods, information integration, record linkage, LLMs, and clinical decision support. Co-President, AIME Society. Organizer, W3PHIAI at AAAI. Program Committee Chair, AINurse-26.
Laura-Maria Peltonen
Research at the intersection of nursing science, digital health, and AI, with focus on clinical decision-making, workforce management, and patient outcomes. Chair, EFMI Nursing Informatics Working Group.
Lisiane Pruinelli
Expertise in applied clinical informatics and AI in transplantation. Co-Chair, Nursing Knowledge Big Data Science Initiative. Steering Committee, UF Learning Health System Program.
Charlene Ronquillo
Research on health equity, inclusive technologies, and AI fairness and trustworthiness. Focused on clinical documentation, data quality, and equitable AI. President-elect, Canadian Nursing Informatics Association.
Maxim (Max) Topaz
Pioneer in applying NLP to nursing-generated data. Research on data science for clinical decision-making. Affiliated with the Columbia University Data Science Institute. Author of 170+ articles.
Target Audience
AINurse-26 is intended for researchers, clinicians, and students involved in developing, evaluating, or implementing AI in nursing and healthcare. We anticipate 20–40 participants consistent with prior AINurse workshops.
Clinical Professionals
Nurses, physicians, and allied health professionals working with AI-enabled clinical systems
AI & Data Scientists
Researchers in machine learning, NLP, and data science with interest in healthcare applications
Implementation Specialists
Human factors engineers, ethicists, and implementation scientists focused on health AI
About the NAIL Collaborative
The Nursing and Artificial Intelligence Leadership (NAIL) Collaborative is an international organization focused on promoting the use of AI to support nursing care and advance patient outcomes. All AINurse workshop chairs are co-founders of NAIL.
NAIL members have organized numerous conference panels, presentations, and events, including sessions at the Canadian Nursing Informatics Association, International Medical Informatics Association, AMIA Nursing Working Group, Alliance for Nursing Informatics, MIE2025, MedInfo 2025, and AIME 2020, 2022, and 2025.
Outputs from prior AINurse workshops include peer-reviewed publications and ongoing interdisciplinary research initiatives spanning multiple countries and institutions.
Contact
Contact us with any questions at
AINurse-26 is co-located with the International Conference on Artificial Intelligence in Medicine (AIME 2026) in Ottawa, Canada.