NCT06753318Not yet recruiting
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
Source: ClinicalTrials.gov · Last updated 31 Dec 2024 · Not updated for over 12 months - ask the site whether it is still open
Brief summary (registry, in English)
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.
- Status (registry)
- Not yet recruiting
- Study type
- Interventional
- Enrollment
- 716 (estimated)
- First submitted
- 17 Dec 2024
- Start date
- Jan 2025
- Primary completion date
- Jan 2026
- Lead sponsor
- Huazhong University of Science and Technology
- Diseases
- Pancreatic cancer
- NCT number
- NCT06753318
What you commit to
- Study type: Interventional
- Planned participants: 716
- From Jan 2025 to the primary completion date, Jan 2026
- 1 site in 1 country
- Visits and tests: ask the trial team, the registry does not list them
Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.
Who cannot take part
Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.
Age
- Age under 18 years old
Who the study is looking for
- Imaging examinations (MRI, CT, B-ultrasound) show a solid mass in the pancreas, which requires endoscopic ultrasound guided-fine needle aspiration/biopsy (EUS-FNA/B) to clarify the nature of the lesion in patients.
- Written consent provided
Age in the registry: 18 years to - · Sex: All · Does not accept healthy volunteers
Sites (1)
Sites in registry order. Pick your city on the disease page to sort them by distance.
| Site | City | Country | Site status |
|---|---|---|---|
| Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology Coordinator of this site? Confirm its status | Wuhan | China | Unknown status |
This page is information, not medical advice. Discuss any trial with your doctor.