The Endoscopy Tutor

Imagine a world where novice endoscopists can navigate the complexities of the gastrointestinal tract with confidence and precision, minimizing patient discomfort and reducing the risk of complications. This is the vision driving our current project, which aims to develop an AI-powered endoscopy assistant.

The Challenge of Endoscopy Training

Traditional endoscopy training involves a steep learning curve. Novice endoscopists often struggle with:

• Spatial orientation: Understanding the complex anatomy and navigating the endoscope through the various twists and turns of the GI tract.

• Instrument manipulation: Developing dexterity and precision in controlling the endoscope and its various functions.

• Decision-making: Recognizing anatomical landmarks and making real-time decisions about navigation and procedures.

These challenges can lead to prolonged procedure times, increased patient discomfort, and a higher risk of complications.

Introducing the AI Endoscopy Assistant

Our project focuses on developing an AI-powered assistant that provides real-time guidance to novice endoscopists during upper endoscopy procedures. This innovative tool utilizes:

• Computer vision: Analyzing endoscopic images to identify anatomical landmarks and track the endoscope's position.

• Deep learning: Learning from a vast dataset of endoscopic videos to understand normal anatomy and procedural techniques.

• Human-computer interaction: Providing clear and concise instructions to the endoscopist through visual cues and voice guidance.

Benefits of AI Assistance

The AI endoscopy assistant has the potential to:

• Improve navigation: Guide novice endoscopists through the GI tract with greater accuracy and efficiency.

• Enhance learning: Provide real-time feedback and instruction, accelerating the learning process.

• Reduce discomfort: Minimize procedure time and optimize navigation, leading to greater patient comfort.

• Increase safety: Help prevent complications by ensuring proper instrument handling and identifying potential risks.

Our Proof of Concept

We are currently developing a proof of concept that focuses on assisting novice endoscopists in navigating the upper GI tract during their first procedures. We are utilizing a dataset of endoscopic videos and leveraging the power of AutoML to train our AI model.

The Future of AI in Endoscopy

This project represents a significant step towards revolutionizing endoscopy training and improving patient care. In the future, we envision AI playing an even greater role in endoscopy, assisting with tasks such as:

• Polyp detection and characterization

• Real-time risk assessment

• Automated reporting

By harnessing the power of AI, we can empower endoscopists of all skill levels to perform procedures with greater confidence, precision, and safety.