CI

At a glance

ClinicalIndex Comparison Record
N/ACompleted· 44 enrolled
Drug / intervention
Lung CT scan analysis in COVID-19 patientsother
Likely dose
Not stated in record
Structured eligibility isn't available for this trial yet — see the full criteria in the Eligibility tab below.

Standardized by ClinicalIndex from the ClinicalTrials.gov record · verify against the source.

Search/NCT04395482
NCT04395482N/ACompleted
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Lung CT Scan Analysis of SARS-CoV2 Induced Lung Injury by Machine Learning: a Multicenter Retrospective Cohort Study.

University of Milano Bicocca·observational·Posted May 20, 2020·Updated Jul 21, 2022

In Brief

An observational study evaluating Lung CT scan analysis in COVID-19 patients for covid19. Completed, enrolled 44 participants across 8 sites in 2 countries.

Detailed Summary

This is a multicenter observational retrospective cohort study that aims to study the morphological characteristics of the lung parenchyma of SARS-CoV2 positive patients identifiable in patterns through artificial intelligence techniques and their impact on patient outcome.

Study Details

Study Typeobservational
Allocation--
Masking--
Primary Purpose--
Conditionscovid19
CountriesItaly, San Marino
Collaborators--

Timeline

N/ACompletedFinished
202120222023202420252026
First PostedMay 20, 2020
Enrollment StartMay 7, 2020
Primary CompletionJun 15, 2021
Study CompletionMar 31, 2022
TodayJul 2, 2026
Enrollment to primary: 1.1 yearsPosted 6.1 years ago

Interventions

Lung CT scan analysis in COVID-19 patientsother

This research project will evaluate the morphological characteristics of the lung by CT scan analysis in COVID-19 patients which will be identified as specific patterns using artificial intelligence technology and their impact on outcome.