Artificial Intelligence-assisted Diagnosis and Prognostication in Osteoporosis Using Chest X-ray
Sponsor
National Defense Medical Center, Taiwan (Other)
Overall Status
Not yet recruiting
CT.gov ID
NCT05721157
Collaborator
(none)
1,000
2
22
Study Details
Study Description
Brief Summary
Artificial Intelligence-assisted Diagnosis and Prognostication in Osteoporosis Using Chest X-ray
Condition or Disease | Intervention/Treatment | Phase |
---|---|---|
|
N/A |
Study Design
Study Type:
Interventional
Anticipated Enrollment
:
1000 participants
Allocation:
Randomized
Intervention Model:
Parallel Assignment
Masking:
None (Open Label)
Primary Purpose:
Screening
Official Title:
Artificial Intelligence-assisted Diagnosis and Prognostication in Osteoporosis Using Chest X-ray
Anticipated Study Start Date
:
Mar 1, 2023
Anticipated Primary Completion Date
:
Dec 31, 2024
Anticipated Study Completion Date
:
Dec 31, 2024
Arms and Interventions
Arm | Intervention/Treatment |
---|---|
Experimental: Intervention Patients randomized to intervention will have access to the screening tool. |
Other: AI-enabled Chest X-ray-based Screening Tool
Primary care clinicians in the intervention group had access to the report, which displayed whether the AI-Chest X-ray result was positive or negative.The system will send a message to corresponding physicians if positive finding.
|
No Intervention: Control Patients randomized to control will continue routine practice. |
Outcome Measures
Primary Outcome Measures
- New-diagnoitic event [Within 7days]
After performing an chest X-ray, the osteoporosis was followed.
- All cause mortality (death) [Within 365 days]
After performing an chest X-ray, the patient's survival is tracked.
Eligibility Criteria
Criteria
Ages Eligible for Study:
18 Years
and Older
Sexes Eligible for Study:
All
Accepts Healthy Volunteers:
No
Inclusion Criteria:
- Patients recieved at least 1 Chest X-ray examination in 2022.
Exclusion Criteria:
- Patients recieved at least 1 dual energy x-ray absorptiometry(DXA) examination in 2021~2022.
Contacts and Locations
Locations
No locations specified.Sponsors and Collaborators
- National Defense Medical Center, Taiwan
Investigators
None specified.Study Documents (Full-Text)
None provided.More Information
Publications
None provided.Responsible Party:
Chin Lin,
Associate Professor,
National Defense Medical Center, Taiwan
ClinicalTrials.gov Identifier:
NCT05721157
Other Study ID Numbers:
- NDMC2023001
First Posted:
Feb 9, 2023
Last Update Posted:
Feb 9, 2023
Last Verified:
Jan 1, 2023
Individual Participant Data (IPD) Sharing Statement:
No
Plan to Share IPD:
No
Studies a U.S. FDA-regulated Drug Product:
No
Studies a U.S. FDA-regulated Device Product:
No
Additional relevant MeSH terms: