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Evaluation of Neoplasia with Artificial Intelligence in Gastrointestinal Endoscopy

Recruiting
Conditions
Gastrointestinal Neoplasms
Registration Number
NCT04937647
Lead Sponsor
Portsmouth Hospitals NHS Trust
Brief Summary

This study aims to validate and evaluate AI algorithms for detection and characterization of early GI neoplasia.

Detailed Description

This is an investigator initiated; multi-centre study and will be conducted in two phases. Validation \& Optimization phase, where routinely collected and anonymized endoscopic images and videos from the departmental teaching and training library will be used to validate, and if needed fine-tune and improve, the accuracy of an AI algorithm. Testing phase, where the evaluation of AI algorithms performance will be conducted on a prospective basis. The ground truth (standard) will be expert assessment and histological diagnosis.

This study has no direct impact on patient's clinical care, and collection of all endoscopic data will take place during standard endoscopy procedures done for purely clinical indications. No additional procedures, biopsies or interventions will be performed as a part of this study.

Recruitment & Eligibility

Status
RECRUITING
Sex
All
Target Recruitment
1650
Inclusion Criteria

-The participant must meet ALL of the following criteria to be considered eligible for the study:

  • Male or Female, aged 18 years or above.
  • Requiring gastroscopy and/or colonoscopy to investigate gastrointestinal symptoms, or as part of screening or ongoing surveillance of GI neoplasia.
  • Participant is willing and able to give informed consent for participation in the study.

Exclusion Criteria

The participant may not enter the study if ANY of the following apply:

  • Patients with endoscopically active severe oesophagitis
  • Poor bowel preparation
Exclusion Criteria

Not provided

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
neoplasia detection rateduring the procedure, up to 24 weeks, at 1 year, through study completion

neoplasia detection rate of the AI algorithms in different locations of the GI tract.

Secondary Outcome Measures
NameTimeMethod
Endoscopist neoplasia detection rateduring the procedure, up to 24 weeks, at 1 year, through study completion

Detection rate of endoscopists at various levels of experience

Accuracy of AI diagnosisduring the procedure, up to 24 weeks, at 1 year, through study completion

Accuracy of real time optical diagnosis (characterization) of GI neoplasia by the AI algorithm.

Trial Locations

Locations (1)

Portsmouth Hospitals NHS University Trust

🇬🇧

Portsmouth, Hampshire, United Kingdom

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