Welcome to ICAIHE 2026!

2026 International Conference on Artificial Intelligence for Health and Education (ICAIHE 2026) will be held in Tokyo, Japan from July 8 to 10, 2026. With the spread of digital technology in healthcare and education, there is a growing interest in using artificial intelligence (AI) to promote human well-being in the extensive areas of health and learning. As more data becomes available from IoT, wearable devices, sensors, social media and many other online platforms, new possibilities emerge for understanding and revolutionizing digital health and learning.

ICAIHE 2026 focuses on AI-enhanced and data-driven approaches to health and education. It aims to leverage advanced AI technology to provide new opportunities in the healthcare and education sectors. This conference is committed to bringing together researchers to explore how these cutting-edge AI technologies can optimize personal health and learning environments, and to demonstrate how these emerging technologies can drive transformative practices that promote human well-being.

ICAIHE 2026 has developed from two previous international workshops, International Workshop on AI-Empowered Digital Health and Well-being Promotion (AI-DHWP 2025), held in connection with the 10th IEEE Cyber Science and Technology Congress (IEEE CyberSciTech 2025) during October 21-24, 2025, and International Workshop on LLM and Agentic AI for Personalized Learning (LAAPL 2025), held in connection with the Joint Conference of 24th International Conference on Web-Based Learning and 10th International Symposium on Emerging Technologies for Education (ICWL-SETE 2025) during November 30 to December 3, 2025. ICAIHE 2026 will serve as a platform for researchers, practitioners, and graduate students from research fields extensively related to AI, big data, healthcare, education, human-computer interaction, and etc. to exchange ideas and gain insights into the innovative AI-enhanced applications in health, medicine, education and learning, and foster discussions on the ethical considerations and future directions of integrating emerging AI technologies and solutions into diverse human well-being contexts.

Paper Submission

Prospective authors are invited to submit original papers reporting on research results, experimentations or novel applications related to the workshop topics.

Submitted papers must be in PDF format, and according to the Springer LNCS Authors Guidelines: Information for Authors ( https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines ). Formats for the submissions are either Full Paper (12-15 pages), Short Paper (6-11 pages), or Work-in-Progress Paper (6-7 pages) including main content and references. Extra pages will pay an additional cost. Submissions will be peer-reviewed by at least two competent reviewers; eligible papers will be accepted either as Full, Short or Work-in-Progress Paper.
 

Paper Publication

All submissions will be peer reviewed. Accepted papers will be published in international conference proceedings, and submitted for included in the major database, such as Scopus, EI Compendex, etc.