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Screening Colonoscopy clinical trials

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NCT ID: NCT04894708 Recruiting - Clinical trials for Screening Colonoscopy

Study on the Use of Artificial Intelligence (Fujifilm) for Polyp Detection in Colonoscopy

Fuji AI
Start date: October 28, 2020
Phase: N/A
Study type: Interventional

Colonoscopy is currently the best method of detection of intestinal tumors and polyps, particularly because polyps can also be biopsied and removed. There is a clear correlation between the adenoma detection rate and prevented carcinomas, so adenoma detection rate is the main parameter for the outcome quality of diagnostic colonoscopy. The efficiency of preventive colonoscopy needs optimisation by increase in adenoma detection rate, as it is known from many studies that approximately 15-30% of all adenomas can be overlooked. This mainly applies to smaller and flat adenomas. However, since even smaller polyps may be relevant for colorectal cancer development, the aim of colonoscopy should be to preferably be able to recognize all polyps and other changes.The latest and by far the most interesting development in this field is the use of artificial intelligence systems. They consist of a switched-on software with a small computer connected to the endoscope processor; the patient's introduced endoscope is completely unchanged. The present study therefore compares the adenoma detection rate (ADR) of the latest generation of devices with high-resolution imaging from Fujifilm with and without the connection of artificial intelligence.

NCT ID: NCT04422548 Recruiting - Clinical trials for Screening Colonoscopy

Does AI-assisted Colonoscopy Improve Adenoma Detection in Screening Colonoscopy?

Start date: November 28, 2019
Phase: N/A
Study type: Interventional

To date, there is a lack of large-scale randomized controlled study using AI assistance in the detection of polyps/adenoma in a screening population. The correlation of fecal occult blood test (FIT or FOBT) and the advantage of AI-assisted colonoscopy has not been investigated. There is also a lack of information of the benefit of AI-assisted colonoscopy in experienced colonoscopist versus trainee/resident.