Chairs

Introduction

The rapid advancement of Artificial Intelligence (AI), particularly large language models, multimodal foundation models, and generative AI, is fundamentally transforming modern healthcare. AI technologies are enabling new paradigms in medical diagnosis, clinical decision support, disease prediction, drug discovery, personalized medicine, and intelligent healthcare services. Meanwhile, the growing availability of electronic health records, medical imaging, wearable sensors, and multi-omics data presents unprecedented opportunities for developing intelligent and trustworthy healthcare systems. Despite remarkable progress, numerous challenges remain, including heterogeneous medical data integration, model reliability, interpretability, privacy preservation, fairness, regulatory compliance, and deployment in real-world clinical environments. This special track aims to bring together researchers and practitioners from artificial intelligence, data science, biomedical informatics, and healthcare to present the latest theoretical advances, innovative researches, and practical applications that drive the next generation of AI-enabled healthcare systems.

Topics

• Large Language Models (LLMs) and Foundation Models for Healthcare
• Generative AI for Medical Applications
• Medical Vision-Language Models and Multimodal Learning
• Clinical Decision Support Systems
• Medical Image Analysis and Computer-Aided Diagnosis
• Electronic Health Record (EHR) Mining and Clinical NLP
• AI for Disease Prediction, Prognosis, and Risk Assessment
• Retrieval-Augmented Generation (RAG) for Medical Knowledge Systems
• Medical Knowledge Graphs and Knowledge-Enhanced AI
• AI for Drug Discovery and Biomedical Research
• Precision Medicine and Personalized Healthcare
• AI for Medical Robotics and Intelligent Surgery
• Federated Learning and Privacy-Preserving Healthcare AI
• Explainable, Trustworthy, and Responsible Medical AI
• Healthcare Digital Twins and Intelligent Hospital Systems
• AI for Public Health and Epidemic Intelligence
• Remote Healthcare, Telemedicine, and Wearable Intelligence
• Edge AI and IoT for Smart Healthcare
• Human-AI Collaboration in Clinical Practice
• Real-World Deployment and Evaluation of Healthcare AI Systems

Important Date

We are pleased to announce the important dates for PDCAT 2026. Please mark your calendars!
All deadlines are based on Anywhere on Earth (AoE), at midnight on the specified date.

• Paper Submission Deadline: 31 August, 2026 (AoE)
• Notification of Acceptance: 10 October, 2026
• Camera-Ready Submission Deadline: 31 October, 2026
• Conference Dates: 4-6 December, 2026