MedTrace Logo

Artificial Intelligence - SARS-CoV-2 (COVID-19) Risk Evaluation

NCT04834934 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 2000

Last updated 2025-05-01

No results posted yet for this study

Summary

The management of COVID-19 patients in overwhelmed hospital facing the pandemic is a clinical challenge.

The improvement of decision making may allow a better allocation of available resources and a better treatment of patients at higher risk.

Chest CT has been widely adopted for COVID-19 pneumonia diagnosis. Several experiences documented the capability of Artificial Intelligence to improve and fasten COVID-19 pneumonia detection, mainly using chest X-ray.

Aim of the present study was to develop and validate an Artificial Intelligence approach integrating clinical and imaging data (automatically extracted through the adoption of dedicated neural networks) for the creation of a cloud platform capable of performing automatic patients risk stratification. Such an approach could be used for triage of COVID-19 patients in the emergency department, with the aim to improve healthcare personnel decision-making and allocation of resources during health emergencies.

Conditions

  • Covid19

Sponsors & Collaborators

  • Regione Lombardia

    collaborator OTHER

  • Orobix Srl

    collaborator UNKNOWN

  • Microsoft Corporation

    collaborator INDUSTRY

  • ASST Bergamo Est

    collaborator UNKNOWN

  • Centro Cardiologico Monzino

    collaborator OTHER

  • NVIDIA Corporation

    collaborator UNKNOWN

  • PORINI Srl

    collaborator UNKNOWN

  • IRCCS San Raffaele

    lead OTHER

Principal Investigators

  • Antonio Esposito, MD · IRCCS San Raffaele

Eligibility

Min Age
18 Years
Max Age
100 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-02-16
Primary Completion
2020-09-30
Completion
2021-06-30

Countries

  • Italy

Study Locations

More Related Trials

Entities

Companies

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04834934 on ClinicalTrials.gov