【CFP】2026 International Conference on Artificial Intelligence for Health and Education (ICAIHE2026) July 8-10, 2026, Tokyo, Japan

[Ruichen Cong]

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2026 International Conference on Artificial Intelligence for Health and Education (ICAIHE2026) July 8-10, 2026, Tokyo, Japan

https://icaihe.org

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INTRODUCTION
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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
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Workshop/SS Proposal Due: February 15, 2026
Regular Paper Due: March 1, 2026
Work-in-Progress/Workshop/SS Paper Due: March 8, 2026
Author Notification: May 1, 2026
Paper Registration Due: May 15, 2026
Camera-ready Submission Due: May 22, 2026


SCOPE AND TRACKSs
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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
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Prospective authors are invited to submit original papers. Formats for the submissions are either 
- Full Paper: 12-15 pages
- Short Paper: 6-11 pages
- Work-in-Progress Paper: 6-7 pages


SUBMISSIONS AND PUBLICATIONS
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All accepted papers will be published in Springer CCIS series. Selected high quality papers will be recommended for possible publications on journal special issues. 

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

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

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