# Automated Detection and Diagnosis of Pathological DRGs in PHN Patients Using Deep Learning and Magnetic Resonance

> **NCT06274502** · — · COMPLETED · sponsor: **Huazhong University of Science and Technology** · enrollment: 41 (actual)

## Conditions studied

- Deep Learning

## Interventions

- **OTHER:** YOLOv8

## Key facts

- **NCT ID:** NCT06274502
- **Lead sponsor:** Huazhong University of Science and Technology
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** COMPLETED
- **Start date:** 2023-10-01
- **Primary completion:** 2024-01-31
- **Final completion:** 2024-01-31
- **Target enrollment:** 41 (ACTUAL)
- **Last updated:** 2024-03-06


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT06274502

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT06274502, "Automated Detection and Diagnosis of Pathological DRGs in PHN Patients Using Deep Learning and Magnetic Resonance". Retrieved via AI Analytics 2026-06-02 from https://api.ai-analytics.org/clinical/NCT06274502. Licensed CC0.

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*[Clinical trials dataset](/datasets/clinical-trials) · CC0 1.0*
