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Use of Artificial Intelligence During Colonoscopy to Detect Early Abnormal Changes in Inflammatory Bowel Disease Patients

Real-time artificial intelligence assisted surveillance colonoscopy for dysplasia detection in inflammatory bowel disease: a randomized controlled trial - NIL

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
CTRI
Registry ID
CTRI/2026/05/110331
Enrollment
188
Registered
2026-05-11
Start date
Unknown
Completion date
Unknown
Last updated
2026-06-01

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

Conditions

Health Condition 1: K519- Ulcerative colitis, unspecified

Interventions

Intervention1: AI-assisted IBD surveillance colonoscopy: In the intervention arm, a deep-learning computer-aided detection (CADe) system will be used to assist real-time dysplasia detection. The syste

Sponsors

AIIMS New Delhi
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: 1. Age greater than or equal to 18 years. 2. Confirmed diagnosis of ulcerative colitis. 3. Scheduled for routine surveillance colonoscopy according to established guidelines (typically disease duration greater than or equal to 8 10 years, or earlier in the presence of primary sclerosing cholangitis). 4. Capable of providing informed consent and willing to participate in the study.

Exclusion criteria

Exclusion criteria: 1. History of colorectal neoplasia, including prior dysplasia or colorectal cancer 2. Patients with Crohn s colitis 3. Previous colectomy or proctocolectomy. 4. Active severe colitis, or hospitalization for a severe flare within the preceding 4 weeks. 5. Presence of a hereditary or established polyposis syndrome. 6. Pregnant, lactating females 7. Any contraindication to colonoscopy or mucosal biopsy, including cardiopulmonary instability or bleeding disorders not correctable before the procedure.

Design outcomes

Primary

MeasureTime frame
Per-patient Dysplasia Detection Rate (DDR): Defined as the proportion of participants in whom at least one histologically confirmed dysplastic lesion (of any grade) is identified during the index colonoscopy.Timepoint: baseline

Secondary

MeasureTime frame
1. Mean number of histology-confirmed dysplastic lesions detected per colonoscopy. 2. Proportion of patients with high-grade dysplasia (HGD) or colorectal cancer (CRC). 3. Detection proportion of lesions that are diminutive (less than or equal to 5 mm), flat, or located in anatomically challenging segments (e.g., cecum or ascending colon). 4. Number of system-generated alerts that do not correspond to a true dysplastic lesion, expressed as false positives per colonoscopy. 5. Withdrawal time (total & excluding biopsy time), insertion time, & overall procedure duration.Timepoint: baseline

Countries

India

Contacts

Public ContactDr Vineet Ahuja

AIIMS New Delhi

vineet.aiims@gmail.com9810707170

Outcome results

None listed

Source: CTRI (via WHO ICTRP) · Data processed: Jun 11, 2026