Digital Twin Healthcare and Robotics

Aims & Scope

This session aims to explore the transformative role of digital twin technology in advancing healthcare and robotic applications. It will highlight cutting-edge research and practical implementations that enhance medical precision, personalized treatment, and autonomous systems. The session will foster discussions on interdisciplinary approaches integrating AI, robotics, and data analytics to address current challenges and future opportunities in digitalized healthcare.                                                                              

The session will focus on the following points

• AI-driven predictive modeling for digital twins in medical diagnostics and therapy.
• Integration of digital twins with robotic systems for minimally invasive surgery and autonomous operations.
• Innovative applications of digital twins in mental health assessment.

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Your valuable insights are welcome! 

We cordially invite interested researchers to contact us for details and presentation applications at: secretariat@idea-global.net

Session Chairs

Presentations

  • Postdoctoral Researcher
    Peking University First Hospital, Peking University
    Title: Towards Accessible, Automated, and Objective Early Screening: Robotic Assistants for Cognitive Health Assessment
    Abstract To be confirmed
  • Assistant Professor
    University of Health and Rehabilitation Science
    Title: Multimodal Sensing in Rehabilitation Robotics: Technological Frontiers and Clinical Challenges
    Abstract To be confirmed