# OsteoPorosis Treatment Identification Using Machine Learning

> **NCT05678569** · — · UNKNOWN · sponsor: **NHS Greater Glasgow and Clyde** · enrollment: 250 (estimated)

## Conditions studied

- Osteoporosis Risk
- Osteoporosis

## Interventions

- **DIAGNOSTIC_TEST:** Dual Energy Xray Absorptiometry

## Key facts

- **NCT ID:** NCT05678569
- **Lead sponsor:** NHS Greater Glasgow and Clyde
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** UNKNOWN
- **Start date:** 2023-02
- **Primary completion:** 2023-06
- **Final completion:** 2023-06
- **Target enrollment:** 250 (ESTIMATED)
- **Last updated:** 2023-01-10


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT05678569

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT05678569, "OsteoPorosis Treatment Identification Using Machine Learning". Retrieved via AI Analytics 2026-06-02 from https://api.ai-analytics.org/clinical/NCT05678569. Licensed CC0.

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