# Deep Learning for Early Scoliosis Detection Using mmWave Radar Gait Data

> **NCT07593560** · — · NOT_YET_RECRUITING · sponsor: **Gebze Technical University** · enrollment: 200 (estimated)

## Conditions studied

- Scoliosis Idiopathic Adolescent
- Scoliosis

## Interventions

- **DIAGNOSTIC_TEST:** mmWave Radar Gait Assessment

## Key facts

- **NCT ID:** NCT07593560
- **Lead sponsor:** Gebze Technical University
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** NOT_YET_RECRUITING
- **Start date:** 2026-06
- **Primary completion:** 2027-12
- **Final completion:** 2028-06
- **Target enrollment:** 200 (ESTIMATED)
- **Last updated:** 2026-05-18


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT07593560

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT07593560, "Deep Learning for Early Scoliosis Detection Using mmWave Radar Gait Data". Retrieved via AI Analytics 2026-09-01 from https://api.ai-analytics.org/clinical/NCT07593560. Licensed CC0.

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