Artificial Intelligence in the Characterization of Colorectal Polyps

CompletedOBSERVATIONAL
Enrollment

197

Participants

Timeline

Start Date

January 1, 2021

Primary Completion Date

February 28, 2021

Study Completion Date

April 30, 2021

Conditions
Colonic Polyps
Interventions
OTHER

CAD EYE® (Fujifilm, Europe, Gesellschaft mit beschränkter Haftung, Dusseldorf, Germany)

"Methods plan~Phase 1. Brief virtual chromoendoscopy training on the characterization of colorectal polyps (WLI, LCI and BLI)~Phase 2. CAD EYE® system applied during colonoscopy retrieval:~2.1. CAD EYE® system OFF: Virtual chromoendoscopy (BLI) - independently characterization of a suspected polyp in WLI and BLI by the first endoscopist and by the second endoscopist (iconographic record) 2.2. CAD EYE® system ON: Characterization mode (BLI): Characterization of a suspected polyp by CAD EYE® and respectively level of characterization (1 to 3) (iconographic record) Phase 3. Histopathological evaluation (pathologist with gastrointestinal expertise): Resection and recovery of a suspected polyp for anatomopathological characterization"

Trial Locations (1)

3000-075

Centro Hospitalar e Universitário de Coimbra, Coimbra

All Listed Sponsors
lead

Unidade Local de Saúde de Coimbra, EPE

OTHER

NCT04749277 - Artificial Intelligence in the Characterization of Colorectal Polyps | Biotech Hunter | Biotech Hunter