Large Models Meet Surgical Data Science

Overview

Large Models Meet Surgical Data Science is a workshop dedicated to exploring how advanced large models can revolutionize the analysis and processing of surgical data. Our goal is to enhance surgical precision and patient outcomes by fostering interdisciplinary collaboration and innovative research in this emerging field. The integration of large models in surgical data science holds immense potential for transforming surgical practices and improving patient outcomes. However, significant challenges remain, including the scarcity of well-annotated surgical datasets, the need for domain-specific training methodologies, and the importance of ethical considerations in AI deployment. This workshop aims to address these challenges, promote groundbreaking research, and facilitate interdisciplinary collaborations that will pave the way for the successful integration of AI technologies in surgery. By bringing together experts from diverse sectors and regions, we strive to create an inclusive and forward-thinking environment that will drive the future of surgical data science.

The key topics of this workshop include:

1. Creation of Large-Scale Datasets for Surgical and Interventional Science Applications

2. Methodologies for Training Large Models in Surgery and Interventional Science

3. Deployment Challenges in Operating Rooms (OR) and Devices

4. Ethical and Privacy Considerations

5. Interdisciplinary Collaboration and Translational Research

6. Emerging Applications and Future Directions

Important Dates

• Submission: TBD

• Notification: TBD

• Paper Final Version: TBD

• Poster Submission: TBD

• Workshop Date: TBD

Registration

Registration for the workshop can be done via the MICCAI conference website.

Any questions, please contact email: mshi@tongji.edu.cn