Clinical trial · Interventional
Research of the Application of Artificial Intelligence Model "PANDA"
Research of the Application of Artificial Intelligence Model 'PANDA': A MultiCenter, Prospective Randomized Controlled Clinical Trial
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
The research objective of this project is to conduct a large-scale and prospective real-world validation of the Pancreatic Cancer Screening Model PANDA, which was developed based on deep learning and plain CT scans in previous studies. This validation will be carried out across different scenarios at the First Affiliated Hospital of Zhejiang University, leveraging clinical big data. The goal is to verify the model's role in suggesting and supplementing the diagnosis of PDAC in clinical practice, thereby laying the groundwork for large-scale opportunistic screening of PDAC.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Pancreatic Cancer | Malignant Pancreatic Neoplasm | CURATED_EXACT | 0.92 |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| biopsy or operation | Diagnostic Test | — | UNRESOLVED |
Design
Arms and outcomes
Arms (3)
- type
- EXPERIMENTAL
- label
- PDAC
- description
- According to the PANDA output results, those with the highest probability of PDAC among nonPDAC, PDAC, and normal categories are categorized into the PDAC group.
- interventionNames
- Diagnostic Test: biopsy or operation
- type
- NO_INTERVENTION
- label
- nonPDAC
- description
- According to the PANDA output results, those with the highest probability of nonPDAC among nonPDAC, PDAC, and normal categories are categorized into the nonPDAC group.
- type
- NO_INTERVENTION
- label
- Normal
- description
- According to the PANDA output results, those with the highest probability of Normal among nonPDAC, PDAC, and normal categories are categorized into the Normal group.
Eligibility
Eligibility (as posted)
- Sex
- All
Show eligibility criteria text
Inclusion Criteria: * The participants have undergone chest and/or abdominal plain CT scans at outpatient, inpatient, or physical examination centers Exclusion Criteria: * Chest CT scan without pancreatic coverage * Patients undergoing thoracic/abdominal surgical procedures that affect or alter the anatomical display of the pancreas (esophageal/gastric/pancreatic/vascular/ERCP postoperative, etc.) * Scanning non-standard examinations, such as significant respiratory motion artifacts
References
Publications (0)
Data not yet available