Tishk International University is pleased to announce the 2nd International Nursing Conference 2026, organized by the College of Nursing, Tishk International University. The conference will bring together healthcare professionals, researchers, educators, policymakers, and students to explore the transformative role of Artificial Intelligence (AI) in healthcare practice and nursing education.

This international event provides a platform for sharing innovative research, exchanging knowledge, and fostering interdisciplinary collaboration to advance healthcare delivery through AI-driven technologies.

Conference Details

• Conference: 2nd International Nursing Conference 2026
• Theme: The Application of Artificial Intelligence in Health Practice and Education
• Dates: 25–26 October 2026
• Venue: Ibn Sina Hall, Tishk International University, Erbil, Kurdistan Region, Iraq
• Host: College of Nursing, Tishk International University

About the Conference

Artificial Intelligence is rapidly transforming healthcare by improving diagnostics, patient monitoring, clinical decision-making, and personalized treatment. In nursing, AI technologies are enhancing workflow efficiency, supporting evidence-based practice, reducing staff workload, and improving patient outcomes.

The 2nd International Nursing Conference 2026 aims to provide an international forum for discussing the latest developments, research findings, and practical applications of AI in healthcare and nursing education, with a particular focus on the Eastern Mediterranean Region (EMR).

Conference Aim

The conference aims to explore and discuss the application of Artificial Intelligence in health practice and education to enhance patient care, strengthen clinical decision-making, and promote innovative, data-driven healthcare solutions across the Eastern Mediterranean Region.

Conference Objectives

The conference seeks to:

• Examine the impact of Artificial Intelligence on healthcare quality and patient outcomes.
• Explore the integration of AI into healthcare practice, clinical decision-making, and nursing education.
• Discuss the ethical and legal considerations surrounding AI implementation in healthcare.
• Highlight educational and professional training programs that prepare healthcare providers to effectively utilize AI technologies.
• Promote interdisciplinary collaboration and knowledge exchange among healthcare professionals, educators, researchers, and AI specialists.

Conference Themes

Researchers and professionals are invited to contribute to one or more of the following themes:

1. AI and Healthcare Quality

• AI-driven improvements in healthcare quality
• Patient safety and clinical outcomes
• Efficiency and effectiveness of AI applications
• Evidence-based healthcare supported by AI

2. AI in Health Practice and Nursing Education

Topics include:

• Patient assessment and monitoring
• Clinical diagnostics and decision-support systems
• Telehealth and digital healthcare
• Mental health management
• Personalized patient care
• Rehabilitation technologies
• Nursing documentation
• Workforce planning and workload management
• Interdisciplinary collaboration
• AI in nursing education
• Clinical simulation and digital learning

3. Ethical and Legal Considerations

Topics include:

• Data privacy and security
• Ethical use of AI in healthcare
• Human oversight of AI systems
• Responsible use of AI-powered chatbots
• Legal liability and regulatory considerations
• Trust, transparency, and accountability

4. AI Education and Professional Training

Topics include:

• AI literacy for healthcare professionals
• Professional development and continuing education
• Curriculum development
• Patient education using AI technologies
• Best practices for AI implementation in healthcare settings

Why Participate?

Participating in the conference provides an opportunity to:

• Present research to an international audience of healthcare professionals and researchers.
• Learn about the latest innovations in Artificial Intelligence and healthcare.
• Exchange ideas with experts in nursing, medicine, technology, and education.
• Establish interdisciplinary research collaborations.
• Explore emerging technologies that improve healthcare quality and patient outcomes.
• Contribute to shaping the future of AI-powered healthcare and nursing education.