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A study on the ability of AI to enhance the accuracy and efficiency of pathologists' diagnosis of colorectal tumor

A study on the ability of AI to enhance the accuracy and efficiency of pathologists' diagnosis of colorectal tumor

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2300076271
Enrollment
Unknown
Registered
2023-09-28
Start date
2022-07-01
Completion date
Unknown
Last updated
2023-10-03

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

Conditions

Colorectal adenoma and colorectal cancer

Interventions

Gold Standard:The diagnosis of the senior pathologist
Index test:The sensitivity and specificity of pathologists when working with and without AI assistance.

Sponsors

Shanghai Tongren Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 90 Years

Inclusion criteria

Inclusion criteria: Patients with colorectal adenoma and colorectal cancer were diagnosed pathologically regardless of gender or age.

Exclusion criteria

Exclusion criteria: 1. Cannot be converted to digital pathology slides by digital pathology scanners. 2. Problems with photographs, e.g., blurring, etc. 3. Dividing can not be done without MPP (Micro per Pixel) value.

Design outcomes

Primary

MeasureTime frame
Sensitivity;Specificity;—

Secondary

MeasureTime frame
The time required for pathologists and AI artificial intelligence to diagnose colorectal adenomas or colorectal cancer;—

Countries

China

Contacts

Public ContactTao Kun

Shanghai Tongren Hospital

taokun20119@163.com+86 136 3631 6526

Outcome results

None listed

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