Connectionists: [Last-Round CFP] (Regular Paper Submission Open to Mar. 31, 2026): 2026 International Conference on Artificial Intelligence for Health and Education (ICAIHE2026) - Tokyo, Japan, July 8-10, 2026

[Ruichen Cong]

[Our apologies if you receive multiple copies of this CFP]

Dear Colleagues,

We are writing to invite you to submit your papers for publication and
presentation at
2026 International Conference on Artificial Intelligence for Health and
Education (ICAIHE 2026) scheduled on July 8-10, 2026 in Tokyo, Japan. (
https://icaihe.org)

The regular paper submission is open to March 31, 2026 (Fixed).

We look forward to your submissions and truly appreciate your continued
support for ICAIHE 2026.

----------------------------------------

INTRODUCTION
---------------
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.


IMPORTANT DATES
---------------
Regular Paper Due: March 31, 2026 (Fixed)
Workshop/SS Paper Due: March 28, 2026 (Extended)
Late Breaking Work Paper Due: April 15, 2026 (Fixed)
Author Notification: May 1, 2026
Paper Registration Due: May 10, 2026
Camera-ready Submission Due: May 15, 2026


SCOPE AND TRACKSs
---------------
Prospective authors are invited to submit papers on topics including, but
not limited to:

Track 1: Emerging AI Technologies for Health and Education
• Generative AI and LLM
• Agentic AI and AI Agents
• Explainable AI
• Multimodal AI Models
• Small Smart AI Models
• Knowledge Graphs
• Privacy Protection, Security, and Ethics in Emerging AI Applications


Track 2: AI-Enhanced Healthcare and Medical Services
• AI-Enhanced Big Data Analytics in Healthcare and Medical Services
• Multimodal Data Fusion in Digital Health
• AI-Enhanced Biometric Analysis in Digital Health
• Machine Learning and Deep Learning for Healthcare and Medical Services
• AI-Enhanced Precision Healthcare
• Metaverse and Digital Twin for Healthcare and Medical Services
• Human-AI Interaction in Digital Health and Well-being Promotion


Track 3: AI-Enhanced Education and Learning
• LLM-Enhanced Educational Content Generation
• LLM-Enhanced Personalized Learning
• LLM-Enhanced Automated Learning Feedback and Assessment
• AI-Enhanced Collaborative Learning
• AI-Enhanced Learning Analytics
• AI-Enhanced VR/AR/Metaverse for Immersive Learning
• AI Agents for Learning Management Systems


ICAIHE 2026 CALLS
---------------
Prospective authors are invited to submit original papers. Formats for the
submissions  (including late breaking work) are either

- Full Paper: 12-15 pages
- Short Paper: 6-11 pages
- Work-in-Progress Paper: 6-7 pages

including main content and references. Extra pages will pay an additional
cost.


SUBMISSIONS AND PUBLICATIONS
---------------

All submissions will be peer reviewed. Accepted papers will be published in
Springer CCIS series, which will be submitted for indexing to Ei Compendex,
Scopus. Selected high quality papers will be recommended for possible
publications on journal special issues.
The conference will present several awards, including Best Paper Award,
Best Student Paper Award, Best Workshop Paper Award, and Best Student
Workshop Paper Award.

For further details, please refer to https://icaihe.org/sub.html

Submission Link: https://cmt3.research.microsoft.com/ICAIHE2026


Hosted by
Waseda University, Japan
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