CREATE 2025 Workshop

The MICCAI workshop on Clinical-driven Robotics and Embodied AI TEchnology

A half-day workshop

September 27, 2025

DAEJEON, Republic of Korea

Overview

The CREATE workshop (Clinical-driven Robotics and Embodied AI TEchnology) aims to bridge the gap between clinical needs and technological innovations by fostering collaboration among researchers, clinicians, and engineers. By focusing on the synergy between embodied AI, including breakthroughs in Large Language Models (LLMs) and robotics, the workshop seeks to drive innovations that deliver tangible benefits to healthcare, such as enhanced precision, adaptability, and standardization in surgical procedures, ultimately leading to better patient outcomes.

The MICCAI community has played a pivotal role in these advancements, particularly in the areas of artificial intelligence (AI) and robotics. The CREATE workshop (Clinical-driven Robotics and Embodied AI TEchnology) aims to bridge the gap between clinical needs and technological innovations by fostering collaboration among researchers, clinicians, and engineers. By focusing on the synergy between embodied AI—including breakthroughs in Large Language Models (LLMs)—and robotics, the workshop seeks to drive innovations that deliver tangible benefits to healthcare, such as enhanced precision, adaptability, and standardization in surgical procedures, ultimately leading to better patient outcomes.

Aim and Scope

The CREATE workshop (Clinical-driven Robotics and Embodied AI TEchnology) aims to bridge the gap between clinical needs and technological innovations by fostering collaboration among researchers, clinicians, and engineers, emphasizing the transformative potential of embodied AI in healthcare. Unlike static AI systems, embodied AI, particularly when integrated with robotics, interacts with the physical world, adapts to dynamic clinical environments, and supports complex decision-making tasks.

The CREATE workshop aspires to serve as a multidisciplinary platform where researchers, engineers, and clinicians come together to present their latest work, share insights, and discuss real-world applications of embodied AI and robotics. By highlighting the transformative potential of these technologies and addressing the clinical challenges they aim to solve, CREATE seeks to advance the state of the art in healthcare innovation. We warmly invite the MICCAI community to join us in this endeavor, helping to shape the future of surgical interventions and set new standards for patient care.

Keywords/Topics of Interest

The CREATE workshop will cover, but is not limited to, the following topics:

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.