Ignite Creation Date:
2024-05-06 @ 3:59 PM
Last Modification Date:
2024-10-26 @ 2:01 PM
Study NCT ID:
NCT04834934
Status:
UNKNOWN
Last Update Posted:
2021-04-08
First Post:
2021-04-06
Brief Title:
Artificial Intelligence - SARS-CoV-2 Risk Evaluation
Sponsor:
IRCCS San Raffaele
Organization:
IRCCS San Raffaele
Study Overview
Official Title:
Artificial Intelligence - SARS-CoV-2 Risk Evaluation
Status:
UNKNOWN
Status Verified Date:
2021-04
Last Known Status:
RECRUITING
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
AI-SCoRE
Brief 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
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
Detailed Description:
None
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None