We would like to invite you to submit your papers for the CREATE Workshop to be held in October 2026 in ADNEC CENTRE/ABU DHABI, 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.

Submission Instructions

Format

• 1. • Authors should submit their papers electronically in Lecture Notes in Computer Science (LNCS) format. Submissions are limited to 8 pages for the main content plus up to 2 pages for references, consistent with the MICCAI main conference format. Papers exceeding the page limit will be rejected without review.

     • LaTeX style files are available from Springer, which also provides instructions for Word users. All submissions must be in Adobe Portable Document Format (PDF). Other file formats will not be accepted.

Double-Blind Review

• 1. • CREATE follows a double-blind review process. Authors are requested to follow the anonymity guidelines of the MICCAI main conference and ensure that the submitted manuscript does not reveal author identity.

Paper Submission

• 1. • CREATE uses the OpenReview platform for online paper submission and peer review.

Supplementary Material

• 1. • Submission of supplementary material is optional and must be completed by the same deadline as the main paper submission. Authors should appropriately reference any supplementary material in the main paper. Reviewers may consult the supplementary material at their discretion but are not obligated to do so.

Submission Originality

• 1. • Submitted papers must present original work. Manuscripts with substantially similar content must not be under review for, or have been accepted by, any other conference or journal at the time of submission. Archived preprints are permitted.

Proceedings

• 1. • Accepted papers will be published in the joint MICCAI Workshop Proceedings by Springer in the Lecture Notes in Computer Science (LNCS) series.