Trials / Not Yet Recruiting
Not Yet RecruitingNCT06753318
Validation of Joint-AI in Diagnosing Pancreatic Solid Lesions
Validation of a Multimodal Artificial Intelligence Model in in Diagnosing Pancreatic Solid Lesions: a Prospective, Multicenter, Randomized, Controlled Trial
- Status
- Not Yet Recruiting
- Phase
- N/A
- Study type
- Interventional
- Enrollment
- 716 (estimated)
- Sponsor
- Huazhong University of Science and Technology · Academic / Other
- Sex
- All
- Age
- 18 Years
- Healthy volunteers
- Not accepted
Summary
This clinical trial aims to learn if a multimodal artificial intelligence (AI) model can enhance the diagnosis of pancreatic solid lesions. The main questions it aims to answer are: 1. Does the AI model enhance the diagnostic performance of endoscopists in diagnosing pancreatic solid lesions? 2. Does the addition of interpretability analysis further improve the diagnostic performance of the assisted endoscopists? Researchers will compare the diagnostic performance of endoscopists with or without the assistance of the AI model. Participants will: 1. Their clinical data will be prospectively collected. 2. They will be randomized to the AI-assist group and the conventional diagnosis group.
Detailed description
The investigators have previously developed a multimodal AI model (Joint-AI) based on endoscopic ultrasound images and clinical data to diagnose pancreatic solid lesions. This study aims to improve the Joint-AI model's performance with a prospectively collected dataset and validate it through a randomized controlled clinical trial.
Conditions
- Pancreatic Cancer
- Pancreatitis
- Pancreatic Neuroendocine Neoplasms (pNETs)
- Autoimmune Pancreatitis
- Solid Pseudopapillary Neoplasm of the Pancreas
Interventions
| Type | Name | Description |
|---|---|---|
| DIAGNOSTIC_TEST | The assistance of the Joint-AI model | Predictions given by the Joint-AI model will be provided to the endoscopists during their diagnosis |
| DIAGNOSTIC_TEST | The assistance of the interpretable Joint-AI model | Predictions given by the Joint-AI model and the results of the interpretability analysis will be provided to the endoscopists during their diagnosis |
Timeline
- Start date
- 2025-01-01
- Primary completion
- 2026-01-01
- Completion
- 2026-01-01
- First posted
- 2024-12-31
- Last updated
- 2024-12-31
Locations
1 site across 1 country: China
Source: ClinicalTrials.gov record NCT06753318. Inclusion in this directory is not an endorsement.