Intelligent Surgical Workflow Recognition for Endoscopic Submucosal Dissection with Real-Time Animal Study

CPII is pleased to announce that the research project “Intelligent surgical workflow recognition for endoscopic submucosal dissection with real-time animal study” was published in Nature Communications and Clinical Gastroenterology and Hepatology. This research effort is among the first that involves collaboration across two InnoCentres — one in Health (Multi-Scale Medical Robotics Centre) and another in AIR (CPII). This project aims to develop an efficient annotation tool to support the established standardized annotation protocol and develop AI segmentation algorithms for tissue safe-zones of ESD. With the engagement of our investigators, Professor Qi Dou, Professor Yeung Yam, and Professor Helen Meng, a modularized and extendable platform (named AI-ENDO) is developed to conduct user experiments with the endoscopists and to validate the acceptability and added value of the developed techniques in clinical practice. This project helps to improve the endoscopic surgical safety of gastrointestinal cancer.

Press release in Chinese:
https://www.med.cuhk.edu.hk/sc/press-releases/cu-medicine-proves-ai-assisted-colonoscopy-increases-adenoma-detection-rate-by-40-and-trains-a-new-ai-platform-to-assist-early-stage-gastrointestinal-cancer-treatment

Related publication:
https://www.nature.com/articles/s41467-023-42451-8