[dbjapan] 【論文募集】2026 International Conference on Artificial Intelligence for Health and Education (ICAIHE 2026) July 8-10, 2026, Tokyo, Japan

皆様 お世話になっております。 早稲田大学の叢です。 重複してお受け取りの際はご容赦ください。 *2026年7月8日-10日に東京で開催予定の国際会議についてご案内させていただきます。* *論文投稿の締切は 3月1日（日）となっております。また、WorkshopおよびSpecial Sessionの提案を募集しております。締切は 2月28日（日）に延長されました。* みなさまからのご投稿とご提案をお待ち申し上げております。 -------------------------- *2026 International Conference on Artificial Intelligence for Health and Education (ICAIHE 2026) July 8-10, 2026, Tokyo, Japan* https://icaihe.org ---------------------------------------- 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 --------------- *Workshop/SS Proposal Due:* *February 28, 2026 (Extended)* *Regular Paper Due: March 1, 2026* 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 --------------- 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 are either - Full Paper: 12-15 pages - Short Paper: 6-11 pages - Work-in-Progress Paper: 6-7 pages SUBMISSIONS AND PUBLICATIONS --------------- *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