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OpenTrials
Completed

NCT Number: NCT05178095

Artificial Intelligence in Colonic Polyp Detection

A randomized, controlled study investigating the potential benefits of artificial intelligence (AI) in the detection of colonic polyps during outpatient colonoscopy. Randomization between the use of AI and no AI is performed before the study procedure.

Completed

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Key information

Age range

40 year–90 year

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Dr Per Hedenström

Gothenburg, S-413 45, Sweden

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • All patients without IBD referred for colonoscopy

Exclusion criteria

  • Age < 40 years
  • Not willing to participate

Treatment and study plan

Artificial intelligence

Device

Colonoscopy with the aid of artificial intelligence for the detection of colonic polyps

No Artificial Intelligence

Device

Colonoscopy without the aid of artificial intelligence for the detection of colonic polyps

Primary outcomes

  1. ADR

    Time frame: 1 hour

    Adenoma detection rate

Secondary outcomes

  1. APC

    Time frame: 1 hour

    Adenomas per colonoscopy

  2. Procedural time

    Time frame: 1 hour

    The number of minutes required to complete the colonoscopy withdrawal

Sponsors and collaborators

Lead sponsor

Sahlgrenska University Hospital

Other

Registry information

Important dates

Study start
2020
Primary completion
2023
Study completion
2023
First posted
Jan 5, 2022
Registry last updated
Jun 28, 2023

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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