USAGE OF ARITIFICIAL INTELLIGENCE IN AIDING WITH COLONIC SESSILE SERRATED LESIONS DETECTION AND DIAGNOSIS (AI-SSL)

ConditionsSessile Serrated Lesion CADe

Trial statusRecruiting

Trial phaseNot applicable

Trial typeInterventional

Biological sexAll

Age40-80

SponsorNational Healthcare Group, Singapore

About this trial

The aim of this study is to is to evaluate if a real-time Computer Aided Detection (CADe) system can help improve the detection of SSL(sessile serrated lesions) versus a conventional colonoscopy (CC) using white light examination(WLE).

Eligibility criteria

Qualifiers

None

Disqualifiers

None

Trial design

Treatments tested in this trial

usage of CADe system

Treatment groups

628 Participants

are divided into 2 treatment groups

Locations

Changi General Hospital Singapore Singapore

National University of Singapore Singapore Singapore

Tan Tock Seng Hospital308433, Singapore Singapore

Sponsors and collaborators

National Healthcare Group, Singapore

Lead sponsor

Changi General Hospital

Collaborator

National University Health System, Singapore

Collaborator

Source ClinicalTrials.gov