Skip to content

Clinical Study on Artificial Intelligence-Assisted Measurement of the Size of Digestive Tumors and Precancerous Lesions

Clinical Study on Artificial Intelligence-Assisted Measurement of the Size of Digestive Tumors and Precancerous Lesions

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400092376
Enrollment
Unknown
Registered
2024-11-14
Start date
2024-11-20
Completion date
Unknown
Last updated
2024-11-18

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

Conditions

Digestive Tumors and Precancerous Lesions

Interventions

Trail group:NA

Sponsors

West China Hospital of Sichuan University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 100 Years

Inclusion criteria

Inclusion criteria: 1. Patients over 18 years of age undergoing digestive endoscopy. 2. The lesions were clearly identified by endoscopy with complete image data. 3. The lesions were completely resected with a cold snare.

Exclusion criteria

Exclusion criteria: 1. Poor image quality makes it difficult to identify patients with lesions. 2. The patient had other underlying diseases, which affected the observation of the lesion.

Design outcomes

Primary

MeasureTime frame
The difference between the results of AI measuring lesion size and the results of doctors estimating lesion size;The accuracy of AI in measuring lesion size;

Countries

China

Contacts

Public ContactHu Bing

West China Hospital of Sichuan University

hubing@wchscu.edu.cn+86 189 8060 1278

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026