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Osteoporotic Precisely Screening Using Chest Radiograph and Artificial Neural Network (OPSCAN)

N

National Defense Medical Center, Taiwan

Status

Completed

Conditions

Osteoporosis
Osteoporotic Fractures

Treatments

Other: AI-enabled Chest X-ray-based Screening Tool

Study type

Interventional

Funder types

Other

Identifiers

NCT05721157
NDMC2023001

Details and patient eligibility

About

Artificial Intelligence-assisted Diagnosis and Prognostication in Osteoporosis Using Chest X-ray

Enrollment

4,912 patients

Sex

All

Ages

40+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Patients recieved at least 1 chest X-ray examination in 2022
  • More than 66% chest X-ray identified as high risk of osteoporosis by AI-CXR

Exclusion criteria

  • Patients with history of at least 1 dual energy x-ray absorptiometry (DXA)
  • Patients with history of osteoporosis or osteoportic fracture
  • Patients recieved prescription anti-osteoporotic treatment (excluding vitamin D or calcium)
  • Patients died before 01 Jan 2023

Trial design

Primary purpose

Screening

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

None (Open label)

4,912 participants in 2 patient groups

Intervention
Experimental group
Description:
Patients randomized to intervention will have access to the screening tool.
Treatment:
Other: AI-enabled Chest X-ray-based Screening Tool
Control
No Intervention group
Description:
Patients randomized to control will continue routine practice.

Trial contacts and locations

1

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Data sourced from clinicaltrials.gov

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