Call for Papers

We would like to invite you to submit your papers for the CREATE Workshop to be held in September 2025 in Daejeon, Republic of Korea, as a satellite workshop of MICCAI.

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 conference program will include paper presentations, a poster session and keynote talks by prominent speakers in the field. All submitted papers will be reviewed by at least three PC members and handled by an Area Chair. Acceptance decisions will take into account paper novelty, technical depth, practical or theoretical impact. All accepted papers will be published in LNCS proceedings.

Scope

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.

Important Dates

Submission Deadline: June 25, 2025
Notification of Acceptance: July 16, 2025
Camera-ready paper and poster: July 30, 2025
Workshop (Half day): TBD

Submission Instruction

Format

Papers will be submitted electronically following Lecture Notes in Computer Science (LNCS) style of up to 8 (main) + 2 (ref) pages (same as MICCAI main conference).
Submissions exceeding the page limit will be rejected without review.
Latex style files can be found from Springer, which also contains Word instructions. The file format for submissions is Adobe Portable Document Format (PDF). Other formats will not be accepted.

Double Blind Review

CREATE reviewing is double-blind. Please review the Anonymity guidelines of the MICCAI main conference, and confirm that the author field does not break anonymity.

Paper Submission

CREATE uses the CMT system for online submission.

Supplemental Material

Supplemental material submission is optional, following the same deadline as the main paper. Contents of the supplemental material would be referred to appropriately in the paper, while reviewers are not obliged to read them.

Submission Originality

Submissions should be original, no paper of substantially similar content should be under peer review or has been accepted for publication elsewhere (conference/journal, not including archived work).

Proceedings

The proceedings of CREATE Workshop will be published as part of the joint MICCAI Workshops proceedings with Springer (LNCS).

Acknowledgement

The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.

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