Clinical trial · Interventional
Diagnostic Efficiency of Artificial Intelligence for Surgical Neuropathology
A Multi-center, Prospective, Self-Controlled Diagnostic Accuracy Comparative Studies of Artificial Intelligence Diagnostic System for Surgical Neuropathology
- 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)
This is a multi-center, prospective, self-controlled, diagnostic accuracy comparative study of Artificial Intelligence Diagnostic System for Surgical Neuropathology. The investigators will compare the diagnostic efficiency of Artificial Intelligence with that of practicing pathologists, and suppose that the diagnostic efficiency of artificial intelligence in prospective clinical data is no less than that of pathologists.
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 |
|---|---|---|---|
| Central Nervous System Neoplasms | Central Nervous System Neoplasm | ONTOLOGY_EXACT | 0.90 |
Interventions
Interventions (3)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| Artificial Intelligence | Diagnostic Test | — | UNRESOLVED |
| Gold Standard | Diagnostic Test | — | UNRESOLVED |
| Practicing Pathologists | Diagnostic Test | — | UNRESOLVED |
Design
Arms and outcomes
Arms (3)
- type
- EXPERIMENTAL
- label
- Artificial Intelligence
- description
- A deep learning based artificial intelligence diagnostic system(DOI:10.1093/neuonc/noaa163)
- interventionNames
- Diagnostic Test: Artificial Intelligence
- type
- ACTIVE_COMPARATOR
- label
- Practicing Pathologists
- description
- One pathologist who has at least 5 years of experience
- interventionNames
- Diagnostic Test: Practicing Pathologists
- type
- OTHER
- label
- Gold Standard
- description
- A committee composed of two expert pathologists who has at least 10 years of experience and one expert pathologist who has at least 15 years of experience
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
Show eligibility criteria text
Inclusion Criteria: 1. Patients or their guardians understand the research process, agree to use their data, and sign the informed consent form; 2. Aged \>=18 years; 3. MRI shows intracranial spaceoccupying lesions; 4. The clinical diagnosis is glioma, metastasis or lymphoma thus requiring surgical treatment; 5. The patient is willing to accept the surgery. Exclusion Criteria: 1. The patient has serious underlying diseases thus is not suitable for surgery; 2. After further clinical evaluation, surgical treatment was not the best choice; 3. The patient participate in clinical research of other drugs or devices; 4. The researchers believe that there are other factors that will make the patients unable to complete the study.
References
Publications (0)
Data not yet available