Trial of Artificial Intelligence for Chest Radiography
Trial statusNot yet recruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age14-130
SponsorDuke-NUS Graduate Medical School
About this trial
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.
Eligibility criteria
This trial accepts healthy volunteersQualifiers
All patients attending radiography to have chest radiographs during the study period
Disqualifiers
age below 14
deceased before discharge
chest radiograph performed in non-standard projections
Trial design
Design model
Parallel
Treatments tested in this trial
AI
Diagnostic testArtificial intelligence triage and reporting system
Treatment groups
10,000 Participants
are divided into 2 treatment groupsGroup A: Control ArmNo intervention 0 interventions
Group B: AI assistedActive comparator 1 intervention
Trial outcomes
Primary outcomes
1
Report generation time
Time for radiologist to produce each individual CXR report
Time frame
12 months2
Turnaround Time
Time from patient arrival at radiography department to time for clinical team to receive report
Time frame
12 months3
Time to discharge
Time from patient arrival at radiography department to time to discharge from hospital
Time frame
12 monthsSecondary outcomes
1
30-day patient readmission rate
Rate of readmission of patient to hospital after discharge within 30 days
Time frame
12 monthsLocations
Sponsors and contacts
Click on the lead sponsor to view all of their trials.
Source ClinicalTrials.gov
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