具身人工智能与机器人医疗研讨会，欢迎投稿！

Call for Papers

TheCREATE workshop is proposed as a multidisciplinary forum, where leading researchers will present their latest work in embodied AI and robotics.

We invite topics related to medical imaging and efficient medical modeling which include but are not limited to:

• Clinical-Driven Challenges in Surgery: Identifying and addressing real-world clinical problems that can benefit from embodied AI and robotics. By involving clinicians, the workshop aims to ensure that technological developments are aligned with pressing needs in patient care, surgical workflows, and healthcare delivery.

• Clinical-Driven Embodied AI: Exploration and development of AI systems designed to meet specific clinical demands. This includes creating AI solutions that integrate seamlessly into healthcare environments, adapt to the complexities of medical workflows, and provide meaningful support to surgeons and clinicians.

  
  

• AI-Driven Robotics for Surgical Applications: Development of robotic systems that leverage AI to enable autonomous or semi-autonomous functioning, support clinical decision-making, and facilitate procedural learning in surgical settings.

  
  

• Intelligent Surgical Assistants: Design and refinement of robotic systems capable of perceiving, interpreting, and interacting with their environment to provide real-time assistance during surgery. These systems aim to enhance surgeons’ capabilities, improve workflow efficiency, and contribute to safer and more effective procedures.

  
  

• Human-Robot Collaboration in Surgery: Innovations in natural language processing, machine learning, and embodied AI to enable intuitive communication and effective collaboration between surgeons and AI-powered robotic systems. This includes fostering trust and usability in surgical environments.

  
  

• Foundation Models for Surgical Applications: Development and application of large-scale multimodal foundation models in surgery. These models leverage diverse data modalities, such as surgical videos, medical imaging (e.g., ultrasound, CT, MRI), and electronic health records, to support surgical workflow analysis, personalized planning, real-time guidance, and post-operative assessment.

  
  

• AI-Augmented Operating Rooms: Exploring how AI can be integrated into operating rooms to enhance workflow efficiency, improve patient safety, and optimize surgical outcomes. This includes real-time data processing, predictive analytics, and AI-driven decision-making tools to support surgical teams.