Chairs

Introduction

The convergence of artificial intelligence, advanced sensing technologies, and clinical medicine is reshaping the landscape of modern healthcare, giving rise to a new interdisciplinary frontier—Medical-Engineering Integration (MEI). With the explosive growth of multi-modal medical data (e.g., imaging, genomics, electronic health records, and real-time physiological signals), there is an urgent need for intelligent computing paradigms that bridge engineering innovations with clinical practice. This track focuses on the synergistic application of AI-driven methodologies and engineering systems to address critical challenges in disease diagnosis, treatment planning, surgical robotics, remote patient monitoring, and personalized medicine. We invite cutting-edge contributions that span theoretical foundations, algorithmic developments, and deployable system implementations, with an emphasis on reliability, interpretability, and regulatory compliance in real-world healthcare environments. By fostering cross-disciplinary dialogue, this track aims to accelerate the translation of engineering breakthroughs into clinically actionable solutions that improve patient outcomes and healthcare delivery efficiency.

Topics

• Deep Learning and Foundation Models for Multi-Modal Medical Data Analysis
• Intelligent Surgical Robotics and Computer-Assisted Intervention Systems
• Wearable Biosensors and AI-Driven Remote Patient Monitoring
• Federated Learning and Privacy-Preserving Medical Data Sharing
• Digital Twins and Simulation-Driven Personalized Treatment Planning
• Edge-AI for Real-Time Clinical Decision Support and Emergency Response
• Explainable AI (XAI) and Trustworthy Medical Diagnosis Systems
• Medical Image Reconstruction, Enhancement, and Automated Interpretation
• Rehabilitation Engineering and Brain-Computer Interface Technologies

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