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OsteoPorosis Treatment Identification Using Machine Learning

NCT05678569 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 250

Last updated 2023-01-10

No results posted yet for this study

Summary

OPTIMAL is a pilot feasibility study for a machine learning (ML) based enhanced screening software for osteoporosis.

This tool has been created using machine learning, based on data from NHS Greater Glasgow and Clyde. The study will contact individuals deemed at high risk by the study (750 patients will be re-identified, and these will be contacted starting from the highest risk until 250 patients are recruited) and perform DXA scans, clinical review, and bloods tests that are relevant to osteoporosis. This data will then be compared to the predictions made by the OPTIMAL enhanced screening tool, in order to test how effective it is.

Conditions

Interventions

DIAGNOSTIC_TEST

Dual Energy Xray Absorptiometry

DXA for diagnosis of osteoporosis

Sponsors & Collaborators

  • NHS Greater Glasgow and Clyde

    lead OTHER

Eligibility

Min Age
50 Years
Max Age
80 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2023-02-28
Primary Completion
2023-06-30
Completion
2023-06-30

Countries

  • United Kingdom

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05678569 on ClinicalTrials.gov