To hear about similar clinical trials, please enter your email below
Trial Title:
Trial of Artificial Intelligence for Chest Radiography
NCT ID:
NCT06456203
Condition:
Pneumonia
Lung Cancer
Conditions: Official terms:
Pneumonia
Conditions: Keywords:
Radiology
artificial intelligence
triage
radiography
Study type:
Interventional
Study phase:
N/A
Overall status:
Not yet recruiting
Study design:
Allocation:
Randomized
Intervention model:
Parallel Assignment
Primary purpose:
Diagnostic
Masking:
None (Open Label)
Intervention:
Intervention type:
Diagnostic Test
Intervention name:
AI
Description:
Artificial intelligence triage and reporting system
Arm group label:
AI assisted
Summary:
Randomized Clinical Trial of the impact of Chest radiograph AI-assisted triage and report
generation upon clinical outcomes and an economic analysis of impact of AI decision
support on radiology service delivery.
Detailed description:
Randomized, prospective selection of patients. Control group involves radiologists
reporting chest radiographs as per reference standard clinical workflow Intervention
group involves radiologists assisted with AI reporting an AI-triaged worklist of chest
radiographs using an AI report generation tool Clinical outcomes on patients are studied
at pre-determined study endpoints, including time to discharge from the hospital and
re-admission rates.
Economic analysis on cost-avoidance from man-hours saved from report generation and
triage.
Criteria for eligibility:
Criteria:
Inclusion Criteria:
- All patients attending radiography to have chest radiographs during the study period
Exclusion Criteria:
- age below 14
- deceased before discharge
- chest radiograph performed in non-standard projections
Gender:
All
Minimum age:
14 Years
Maximum age:
130 Years
Healthy volunteers:
Accepts Healthy Volunteers
Start date:
October 2024
Completion date:
December 2025
Lead sponsor:
Agency:
Duke-NUS Graduate Medical School
Agency class:
Other
Source:
Duke-NUS Graduate Medical School
Record processing date:
ClinicalTrials.gov processed this data on November 12, 2024
Source: ClinicalTrials.gov page:
https://clinicaltrials.gov/ct2/show/NCT06456203
