The volume constitutes the refereed proceedings of the 2nd International Conference on Artificial Intelligence for Health and Education, ICAIHE 2026, held in Tokyo, Japan, during July 0810, 2026.

The 49 full papers and 23 short papers presented in this book were carefully selected and reviewed from 129 submissions. These papers have been organized in the following topical sections:

Part 1: Large Language Models in Health and Medical Services; AI-Assisted Medical Diagnosis; Intelligent Sensing and Health Data Analysis; Data-Driven Modeling in Healthcare AI ; AI-Based Health Evidence and Policy-Making; AI-Enabled Clinical Decision Support; Health and Well-Being Promotion with AI Technologies.

Part 2: Knowledge Graphs and Learning Assessment; AI Agents for Learning and Teaching Support; Human-Centered and Inclusive AI in Education; AI-Based Music and Art Education; AI-Enhanced Learning and Education Practices; Privacy-Preserving Trustworthy AI Platforms for Education.

Inhalt

.- Large Language Models in Health and Medical Services
.- A Systematic Review on Conversational Mental Health Support: Datasets and Evaluations.
.- A Systematic Evaluation Framework for Large Language Models in Japanese Farm Animal Clinical Medicine.
.- A Clinical RAG Framework for Smartphone Addiction with Interpreted Patterns and Time-Hierarchical Summarization.
.- CPL-Clinic: An Automated Clinical Interview System via Human-Readable and Machine-Executable Clinical Pathway Language.
.- Governed Memory in Healthcare LLM Agents: Challenges, Solutions and New Perspectives.
.- AI-Assisted Medical Diagnosis
.- Quantum Evolutionary Algorithm-Based Feature Optimization for Breast Cancer Detection.
.- A Dual-Branch U-shaped Network of CNN and Transformer for Medical Image Segmentation.
.- DermaExplain-LLM: Uncertainty-Aware Multimodal Skin Lesion Diagnosis with Attention-Guided Fusion and Patient-Friendly Explanations.
.- Label-Efficient Multi-label Chest X-ray Classification via Instance-Conditioned Prompt Learning and Vision-Language Feature Fusion.
.- Intelligent Sensing and Health Data Analysis
.- AI-Enabled Biomechanical Digital Twin for Real-Time Joint Load Estimation from Monocular Human Motion.
.- A UWB Trajectory-Based Drinking Behavior Recognition Method Using Candidate-Region Attention-Guided CNN-BiLSTM.
.- SafePulse: A Memory-Safe Rust Architecture for Deterministic Real-Time ECG Alerting with Optional LLM Enrichment.
.- Integration of FFT-Based Periodic Features to Improve Predictive Performance in Time-Series Health Data.
.- Data-Driven Modeling in Healthcare AI
.- FedDB: Federated Learning via Dual Bhattacharyya Distance and Clustering.
.- A Data-Driven Framework of Dynamic Adaptive Pathway Configuration for Chronic Kidney Disease Detection.
.- SM-KG: Constructing a Knowledge Graph for Traditional Chinese Medicine Six-meridian Syndrome Differentiation via LLM-Driven Text-Type-Guided Prompt Engineering.
.- Life-Course Risk Factors for Post-Injury Decline in Chinese Older Adults: An Interpretable Machine Learning Study.
.- Short Papers
.- SDG-Net: Cross-Domain Polyp Segmentation Using Fourier-Based Style Augmentation Without Target Domain Data.
.- Machine Learning-Driven Predictive Modeling for Multi-Cancer Risk Assessment Based on Clinical Behavioral Data.
.- An AI-Assisted Gamified Digital Mental Health Intervention Framework for International Graduate Students.
.- The Multimodal Algorithmic Fluency Model: AI-Generated Music as a Programmable Stimulus for Digital Health Communication.
.- MADH-ARBNet: Enhancing 3D Pulmonary Nodule Detection via a Multi-Attention Detection Head and a Training-Only Auxiliary Reversible Branch.
.- Workshop Papers : AI-Based Health Evidence and Policy-Making
.- Enhancing semantic connectivity in health information organization: AI-driven topic link optimization for MedlinePlus using word embedding models.
.- Construction and Application of a Deep Learning-Based Decision Support System for Health Impact Assessment of Public Policy.
.- Evidence-Mapping-Informed Health Need Identification Among Socially Isolated Older Adults: Toward Data-Driven Community Health Management.
.- ICT- and AI-Enabled Mobile Retail as a Community Health Platform: A Case Study in Rural Japan.
.- Analyzing the Effect of User Tone on Sycophancy in LLMs Based on FES Framework and Sycophancy Scores.
.- AI-Enabled Clinical Decision Support
.- ESCORT: An AI-Enabled Integrated Digital Health Platform for Remote Chronic Disease Management.
.- Fairness-Aware Hospital Bed Allocation Decision Support Model Based on Double DQN.
.- An AI-Enabled Pipeline for Clinical Data Management and Institutional Review Board-Compliant Governance in Small-Scale Clinical Settings.
.- AI-Driven Data Representation in Quantum Machine Learning for Healthcare: A Systematic Review.
.- A Study on the Relationships among Online Self-Concept, Peer Relationships, and Mental Health of Adolescents in the Digital Age.
.- Health and Well-Being Promotion with AI Technologies
.- A Snow Detection and Enhancement Generative Adversarial Network for Older Driver Assistance in Snowy Conditions.
.- Examining Attention from the Perspective of Meditative States Using Physiological Indicators Towards Mental Well-Being.
.- Future Whole-Tumor Mask Prediction in Longitudinal Brain MRI Using 3D U-Net.
.- Contact-less Breath Wave Estimation Using AI Body Detection.
.- AI-Generated Synthetic Blood Smear Images: A Comparative Analysis with Real Clinical Microscopy Data.
.- Clinical Importance of Brain Anatomy in the Early Detection of Brain Tumors Using Modern Imaging Technologies.