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Development of an AI-Assisted Capsule Endoscopy Framework for Colorectal Cancer Screening: A Pilot Study

Development of an AI-Assisted Capsule Endoscopy Framework for Colorectal Cancer Screening: A Pilot Study

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Interventional
Source
TCTR
Registry ID
TCTR20260630003
Enrollment
30
Registered
2026-06-30
Start date
2026-01-01
Completion date
Unknown
Last updated
2026-08-03

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

Conditions

Colorectal neoplasms Colorectal cancer Colonic polyps Occult gastrointestinal bleeding Colorectal Neoplasms Capsule Endoscopy Artificial Intelligence Mass Screening Early Detection of Cancer Colonic Polyps Gastrointestinal Diseases Machine Learning

Interventions

Participants undergo colon capsule endoscopy following standard bowel preparation. A 24 by 11 millimeter capsule containing an internal camera is swallowed to capture images of the colon throughout tr
Experimental Device

Sponsors

Fundamental Fund
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 70 Years

Inclusion criteria

Inclusion criteria: 1. Individuals who underwent colorectal cancer screening with a fecal immunochemical test and received a positive result 2. Able to swallow the capsule without known swallowing difficulties 3. Able to follow bowel preparation instructions 4. Able to provide written informed consent 5. Willing to comply with all study procedures including follow up assessments during the 12 month study period

Exclusion criteria

Exclusion criteria: 1. Known or suspected gastrointestinal obstruction, strictures, or motility disorders that may prevent capsule passage 2. History of abdominal surgery that may interfere with capsule transit 3. Known inflammatory bowel disease 4. Pregnancy or suspicion of pregnancy 5. Known allergy or contraindication to bowel preparation agents 6. Presence of any severe medical or psychiatric condition that may interfere with study participation or safety 7. Inability to understand study information or provide informed consent

Design outcomes

Primary

MeasureTime frame
Diagnostic outcomes Day of capsule endoscopy Sensitivity, specificity, positive predictive value, negative predictive value, and receiver operating characteristic curve and area under the curve

Secondary

MeasureTime frame
Detection of colorectal lesions by AI-assisted colon capsule endoscopy Day of capsule endoscopy Proportion of participants with colorectal lesions detected by AI-assisted CCE

Countries

Thailand

Contacts

Public ContactPradermchai Kongkam

chulalongkorn university

kongkam@hotmail.com022564356

Outcome results

None listed

Source: TCTR (via WHO ICTRP) · Data processed: Aug 10, 2026