AI-Assisted Pathologist Performance Improvement: A Multicenter, Prospective, Randomized Controlled Trial
NCT07291362 · Status: ENROLLING_BY_INVITATION · Phase: NA · Type: INTERVENTIONAL · Enrollment: 1000
Last updated 2026-02-10
Summary
The investigators plan to conduct a multicenter, prospective, randomized controlled trial to systematically evaluate the added value of pathology-based AI models in the gastric cancer diagnostic workflow. The study will focus on comparing AI-assisted platform interpretation with conventional independent slide reading in terms of diagnostic accuracy (e.g., AUC), reading efficiency (e.g., comparison of time to diagnosis), quality of diagnostic reports, diagnostic confidence (Likert scale), and pathologists' satisfaction with the AI models. The investigators will also assess superiority for less-experienced (junior) pathologists and noninferiority for more-experienced (senior) pathologists. Successful completion of this project will provide high-level prospective evidence to support the standardized deployment, quality control, and broader application of pathology AI in the gastric cancer care pathway.
Conditions
- Pathology Foundation Model
Interventions
- OTHER
-
AI pathology model
Doctors in this group are required to use the AI pathology model to assist their diagnoses. The AI pathology model will provide a predicted result for each case.
- OTHER
-
Control
Pathologists will independently diagnose each case based on their own clinical experience, and will record both their time to diagnosis and their diagnostic confidence.
Sponsors & Collaborators
-
Nanfang Hospital, Southern Medical University
lead OTHER
Principal Investigators
-
Li Liang · Nanfang Hospital, Southern Medical University
Study Design
- Allocation
- RANDOMIZED
- Purpose
- OTHER
- Masking
- SINGLE
- Model
- CROSSOVER
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2025-11-01
- Primary Completion
- 2027-06-30
- Completion
- 2027-11-30
Countries
- China
Study Locations
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