AI-Assisted Pathologist Performance Improvement: A Multicenter, Prospective, Randomized Controlled Trial
Artificial Intelligence Model-Assisted Improvement of Pathologists' Performance in Clinical Diagnostic Tasks: A Multicenter, Prospective, Randomized Controlled Trial
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
Guangdong
-
Guangzhou, Guangdong, China, 510515
- Nanfang Hospital, Southern Medical University
-
-
Henan
-
Zhengzhou, Henan, China
- The first affiliated hospital of Zhengzhou university
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Sex: ≥ 18 years of age;
- Patients undergoing gastric mucosal biopsy or gastric cancer surgical resection, with available digital pathology images and clinical information.
Exclusion Criteria:
1.Missing data or data of insufficient quality for analysis
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Other
- Allocation: Randomized
- Interventional Model: Crossover Assignment
- Masking: Single
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: AI-assisted group
Doctors in this group are required to use the AI pathology diagnostic model to assist their diagnoses.
The AI pathology model will provide a predicted result for each case.
|
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.
|
|
Placebo Comparator: Independent Diagnosis Group (Control Group)
In this group, pathologists will independently diagnose each case based on their own clinical experience, and will record both their time to diagnosis and their diagnostic confidence.
|
Pathologists will independently diagnose each case based on their own clinical experience, and will record both their time to diagnosis and their diagnostic confidence.
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Area under ROC curve (AUC)
Time Frame: Assessments will be conducted within one week after the physicians' diagnoses.
|
Area under the curve
|
Assessments will be conducted within one week after the physicians' diagnoses.
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Diagnostic time per case
Time Frame: Measured immediately after the physician's diagnosis.
|
Time required for the pathologist to complete the diagnosis of each case in the AI-assisted diagnosis group compared with the independent diagnosis group.
Diagnostic time is defined as the duration (in minutes/seconds) from initiating case review to finalizing and submitting the diagnostic report in the study system
|
Measured immediately after the physician's diagnosis.
|
|
Diagnostic report quality score
Time Frame: Within 1 week after the initial diagnosis for each case.
|
Quality score of pathology diagnostic reports in the AI-assisted diagnosis group compared with the independent diagnosis group.
Report quality will be evaluated by an independent panel of expert pathologists using a predefined scoring rubric (e.g., 0-100 scale), considering diagnostic accuracy, completeness, clarity, and structure of the report.
Higher scores indicate better report quality.
|
Within 1 week after the initial diagnosis for each case.
|
|
Pathologists' diagnostic confidence
Time Frame: At the time of diagnosis for each case.
|
Self-reported diagnostic confidence of pathologists for each case in the AI-assisted diagnosis group compared with the independent diagnosis group.
Diagnostic confidence will be rated by the reporting pathologist on a [5]-point Likert scale (e.g., 1 = very uncertain to 5 = very confident) immediately after completing the diagnosis.
Higher scores indicate greater diagnostic confidence.
|
At the time of diagnosis for each case.
|
|
Pathologists' satisfaction with the AI pathology model
Time Frame: Assessed once at the end of the AI-assisted reading period for each pathologist.
|
Overall satisfaction of pathologists with the AI pathology diagnostic model in terms of usability and perceived effectiveness.
Satisfaction will be assessed using a structured questionnaire comprising Likert-scale items that evaluate ease of use, integration into workflow, clarity of AI outputs, perceived impact on diagnostic efficiency, and perceived impact on diagnostic accuracy and confidence.
Higher scores indicate higher satisfaction, better usability, and greater perceived effectiveness.
|
Assessed once at the end of the AI-assisted reading period for each pathologist.
|
Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Study Director: Li Liang, Nanfang Hospital, Southern Medical University
Publications and helpful links
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Other Study ID Numbers
Other Study ID Numbers
- NFEC-2025-653
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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