AI-guided diagnosis for high-risk osteoporosis populations

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

The study evaluates an AI-assisted approach in real-world osteoporosis care, enrolling adults aged 40–80 who are considered high-risk and have had a chest x-ray in the past year. It aims to see if the AI-guided process can improve decision-making about diagnosis and care. The trial is pragmatic and involves analysis of clinical impact and economic implications to inform potential NHI reimbursement. It integrates commercially available smart medical device technology with standard care across multiple Taiwanese hospitals. Outcomes likely include diagnostic yield, treatment recommendations, and cost-related metrics.

Why it matters

Who can join: the full rules

Inclusion Criteria:

* Aged between 40 to 80 years old
* Identified as high-risk by the Osteoporosis Self-Assessment Tool for Taiwan Postmenopausal Women (OSTAi) \<-1 or Male Osteoporosis Self-Assessment Tool for Taiwan (MOSTAi) ≦11 based on the individual's age and weight (kg)
* Had chest x-ray within one year

Exclusion Criteria:

* Age \< 40 years old
* Age \>80 years old
* BMI\< 18 kg/m2or \>30 kg/m2
* Pregnant in prior one year
* Recorded diagnosis of osteoporosis within the past two years
* History of prior DXA imaging (prior quantification of BMD) within 2 years
* History of metabolic bone disease

Where it's running

• Show Chwan Memorial Hospital
  Changhua, Taiwan Recruiting
• Kaohsiung Medical University Chung-Ho Memorial Hospital
  Kaohsiung City, Taiwan Recruiting
• Taichung Veterans General Hospital
  Taichung, Taiwan Recruiting

Study contacts

• Principal investigator: Kun Hui Chen, MD — Taichung Veterans General Hospital
• Study coordinator: Wu Wu Zhan, M.b.a.
• Email: tcvghaicenter@vghtc.gov.tw
• Phone: 04-23592525#3973

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.