Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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NOT_YET_RECRUITING
NA
10000 participants
INTERVENTIONAL
2024-10-31
2025-12-31
Brief Summary
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Detailed Description
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Economic analysis on cost-avoidance from man-hours saved from report generation and triage.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
DIAGNOSTIC
NONE
Study Groups
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Control Arm
Chest radiographs reported with AI assistance
No interventions assigned to this group
AI assisted
AI assisted detection, triage and reporting of CXR
AI
Artificial intelligence triage and reporting system
Interventions
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AI
Artificial intelligence triage and reporting system
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
* deceased before discharge
* chest radiograph performed in non-standard projections
14 Years
130 Years
ALL
Yes
Sponsors
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Duke-NUS Graduate Medical School
OTHER
Responsible Party
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Charlene Liew
Clinical Assistant Professor
Other Identifiers
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2023/2280
Identifier Type: -
Identifier Source: org_study_id
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