COVID-19 Volumetric Quantification on Computer Tomography Using Computer Aided Diagnostics
NCT ID: NCT05282056
Last Updated: 2022-05-04
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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COMPLETED
NA
200 participants
INTERVENTIONAL
2022-02-24
2022-03-15
Brief Summary
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Detailed Description
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Artificial intelligence is a known objective constant and therefore a potential radiologist complement. This trial aims at studying the effect of using a computer aided diagnostic software integrated in the normal clinical practice of radiologists from Timisoara County Emergency Hospital. It uses the AI-PROBE analysis setup, which turns off the CAD outputs for randomly chosen 50% the cases (control) and then compares the radiological reports for differences between the two arms.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
DIAGNOSTIC
SINGLE
Study Groups
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CAD analysis
The XVision COVID-19 computer aided diagnostic software is used by radiologist at CT analysis time
CAD analysis
CAD shows the radiologist automatically delineated areas of potential COVID-19 affection, together with an overall lung affection percentage.
No CAD analysis
No CAD analysis is shown to radiologist.
No interventions assigned to this group
Interventions
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CAD analysis
CAD shows the radiologist automatically delineated areas of potential COVID-19 affection, together with an overall lung affection percentage.
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
16 Years
ALL
No
Sponsors
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Pius Brinzeu Timisoara County Emergency Hospital
UNKNOWN
Bogdan Bercean
INDUSTRY
Responsible Party
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Bogdan Bercean
Head of Artificial Intelligence
Locations
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Pius Brinzeu Timisoara County Emergency Hospital
Timișoara, Timiș County, Romania
Countries
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References
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Bercean BA, Birhala A, Ardelean PG, Barbulescu I, Benta MM, Rasadean CD, Costachescu D, Avramescu C, Tenescu A, Iarca S, Buburuzan AS, Marcu M, Birsasteanu F. Evidence of a cognitive bias in the quantification of COVID-19 with CT: an artificial intelligence randomised clinical trial. Sci Rep. 2023 Mar 25;13(1):4887. doi: 10.1038/s41598-023-31910-3.
Other Identifiers
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282/01.02.2022
Identifier Type: -
Identifier Source: org_study_id
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