RecruitingNAINTERVENTIONAL

Training Physicians to Differentiate the Paris Classification Using Artificial Colon Polyp Images

Doctors need excellent training to find polyps in your gut (colon) early, as spotting them can help prevent bowel cancer. Usually, doctors learn by looking at collections of real scans and working with patients. This new study is exploring a smarter way using artificial intelligence (AI). Scientists have used AI to create very lifelike polyp images that are safe to use for training and can even show different stages of pre-cancerous cells. The study aims to find out if training doctors with these computer-generated (artificial) images is as good, or even better, than using real patient images to correctly identify and classify various colon polyps.

At a glance

Status

Recruiting

Phase

Sponsor

Wuerzburg University Hospital

Enrolment target

Start

15 Apr 2025

Estimated completion

31 Aug 2025

Colonic Polyp Colon Adenoma

What is this study about?

Imagine your doctor needs to be an expert at spotting tiny changes inside your gut that could become serious. These changes are called **colon polyps**. Finding them early is really important because it can stop bowel cancer from developing. Doctors usually learn how to spot these polyps by looking at lots of real pictures from other patients and by gaining experience during actual patient examinations.

Now, scientists are using a new type of computer technology called **artificial intelligence (AI)** to create training materials. This AI can make very realistic pictures of colon polyps. These pictures are special because they look just like real ones, but they're made by a computer. This means they are safe to use for training as they don't contain any real patient information. What's more, the AI can even create different stages of polyps in the same spot, which is really clever for training.

This study wants to see if training doctors with these computer-made pictures is as good as, or even better than, using real images to help them correctly identify different kinds of polyps. By improving how doctors are trained, the goal is to make sure more polyps are found early, which can ultimately help prevent bowel cancer. It's all about making sure your doctors have the best possible skills to keep you healthy.

Key takeaways

This study explores new ways to train doctors using AI.
It focuses on improving how doctors spot colon polyps.
AI creates realistic, safe images for doctor training.
The study compares real vs. AI-generated images for training effectiveness.
Better training can lead to earlier detection of potential bowel cancer.
This research aims to enhance preventing bowel cancer in the long run.

Who may be eligible?

This study is particularly looking for doctors to take part. It doesn't matter if they are just starting out in procedures like colonoscopies or if they have many years of experience.

The main requirement for taking part is simply being a doctor. All doctors, regardless of their age (as long as they are 18 or older) or gender, are welcome to be considered for this training study.

Could this study suit you?

Answer these quick questions to see if you may be eligible. This is a guide only — the research team makes the final call.

Are you a medical doctor?
Are you 18 years old or older?
Are you interested in participating in a training study?
Do you have experience in colonoscopy, or are you looking to gain experience?

Answer every question to see your result.

What does participation involve?

This study involves doctors taking part in a training programme. They will be using a special training platform called 'Lutetia'. Doctors will be randomly assigned to one of two groups: one group will train using real images of polyps, and the other group will train using computer-generated (artificial) images of polyps. The study will then compare which type of training helps doctors classify polyps better. Details about the exact duration of the training, the number of sessions, or what assessments will be involved for the doctors are not provided here.

Potential risks and benefits

This study primarily involves doctors participating in training, and as such, direct medical risks to patients are not expected. The potential benefit is an improved method for training doctors, which could lead to earlier detection of polyps and better prevention of bowel cancer in the general population. Participants are always free to withdraw from the study at any time without needing to give a reason.

Locations (1)

University hospital Würzburg
Verified postcode
Würzburg, Germany· Recruiting

Common questions

What is a colon polyp?

A colon polyp is a small growth inside your large intestine (colon). Some polyps can turn into cancer over time, so finding them early is important.

What is 'artificial intelligence' (AI) in this study?

AI here is like a smart computer program that can create very realistic pictures of polyps for training doctors, almost like magic!

Why use computer-made pictures instead of real ones?

Computer-made pictures are safe, don't use real patient data, and can be designed to show very specific things for better training, like different stages of polyps.

What is the main goal of this study?

The main goal is to find out if training doctors with these AI-generated pictures helps them identify and classify polyps better than using real pictures.

Will this study help prevent bowel cancer?

By improving how doctors are trained to spot polyps, this study aims to contribute to earlier detection, which is key to preventing bowel cancer.

How to find out more

Alexander Hann, MD

hann_a@ukw.de 0049931201 Official trial record

Always speak to your GP or specialist before deciding to take part in a study.