Developing an Artificial Intelligence (AI)-based self-training platform for laparoscopic surgery

This Developing an Artificial Intelligence (AI)-based self-training platform for laparoscopic surgery project at University of Dundee will be involved in developing a fully autonomous laparoscopy self-training system that provides insightful, intuitive, and timely feedback for improvement.

With this Developing an Artificial Intelligence (AI)-based self-training platform for laparoscopic surgery Developing an Artificial Intelligence (AI)-based self-training platform for laparoscopic surgery project at University of Dundee University of Dundee , we will develop machine vision and machine learning techniques and integrate those with physical box trainers.

Practicality

The autonomous and Intelligent Laparoscopy (AILap) Trainer with Real-Time Feedback system will be tested on commonly performed laparoscopic procedures associated with proficiency-gain/learning curve and that involves laparoscopic suturing as an unreplaceable skill (e.g., laparoscopic fundoplication, laparoscopic gastric-bypass of bariatric surgery, and laparoscopic closure of common bile duct after common bile exploration).

The laparoscopic training method with Artificial Intelligence (AI) would address the core challenges that have not been met with the current training platforms:

• wide accessibility

• self-training with effective and immediate feedback

• scalability (low cost) to be widely applied in any country (low- and middle-income countries).