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Application of AI in Polypectomy

Application of Artificial Intelligence in Colorectal Polypectomy

Status
UNKNOWN
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04485715
Enrollment
1000
Registered
2020-07-24
Start date
2020-07-21
Completion date
2021-09-21
Last updated
2020-07-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Colonic Polyp

Brief summary

The aim of this study was to assess the performance of AI system in polypectomy

Interventions

The real-time assistance of AI system

Sponsors

Yanqing Li
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
OTHER
Masking
DOUBLE (Subject, Outcomes Assessor)

Eligibility

Sex/Gender
ALL
Age
18 Years to 80 Years
Healthy volunteers
No

Inclusion criteria

* to undergo colorectal polypectomy; * agree to give written informed consent

Exclusion criteria

* patients with the contraindications to colorectal polypectomy; * patients with a history of inflammatory bowel disease (IBD), CRC, colorectal surgery; * patients with high suspicion of polyposis syndromes, IBD and typical advanced CRC; * patients refused to participate in the trial; * the procedure cannot be completed due to stenosis, obstruction, huge occupying lesions, or solid stool; * the procedure have to be terminated due to complications of anaesthesia.

Design outcomes

Primary

MeasureTime frameDescription
polypectomy time12 monthsthe time for detection in polypectomy

Countries

China

Contacts

Primary ContactYanqing Li, PhD, MD
liyanqing@sdu.edu.cn86-531-82166095

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026