Large Models Meet Surgical Data Science

Call for Papers

We invite submissions for oral and poster presentations at the "Large Models Meet Surgical Data Science" workshop. We seek contributions that can spark meaningful discussions and collaborations, including:

• Dataset Papers: Presenting large-scale surgical datasets and their curation methodologies.

• Research Methodologies: Training large models in surgical contexts.

• Technical Papers: Addressing deployment challenges in operating rooms and surgical devices.

• Ethics and Privacy Papers: Exploring concerns in clinical AI.

• Translational Research: Exploring efforts in translational research.

• Positional Papers: Discussing emerging applications and future directions in surgical data science.

Submissions can be novel research, methodologies, case studies, or insightful positional papers. The work can be of a preliminary nature.

Submission Guidelines

Please refer to the MICCAI 2025 guidelines.