Trials / Not Yet Recruiting
Not Yet RecruitingNCT06356441
Artificial Intelligence-supported Reading Versus Standard Double Reading for the Interpretation of Magnetic Resonance Imaging in the Detection of Local Recurrence for Nasopharyngeal Carcinoma: a Randomised Controlled Multicenter Study
- Status
- Not Yet Recruiting
- Phase
- —
- Study type
- Observational
- Enrollment
- 10,400 (estimated)
- Sponsor
- Sun Yat-sen University · Academic / Other
- Sex
- All
- Age
- —
- Healthy volunteers
- Not accepted
Summary
The aim of this randomized controlled study is to investigate whether the previously developed artificial intelligence model can triage post-radiotherapy magnetic resonance images of patients with nasopharyngeal carcinoma and assist radiologists in their interpretation.
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| DIAGNOSTIC_TEST | AI | An artificial intelligence model predicts the risk and contours of local recurrence for MR images and triages them before radiologists interpret them. |
Timeline
- Start date
- 2024-04-01
- Primary completion
- 2026-04-01
- Completion
- 2026-04-01
- First posted
- 2024-04-10
- Last updated
- 2024-04-10
Locations
1 site across 1 country: China
Source: ClinicalTrials.gov record NCT06356441. Inclusion in this directory is not an endorsement.