Ignite Creation Date:
2024-06-16 @ 11:48 AM
Last Modification Date:
2024-10-26 @ 3:30 PM
Study NCT ID:
NCT06424925
Status:
NOT_YET_RECRUITING
Last Update Posted:
2024-05-23
First Post:
2024-05-21
Brief Title:
Use of Artificial Intelligence AI to Predict Clinical Outcomes in Patients Hospitalized for COVID19 Pneumonia During the 4 Pandemic Waves
Sponsor:
Azienda Ospedaliera di Lecco
Organization:
Azienda Ospedaliera di Lecco
Study Overview
Official Title:
Use of Artificial Intelligence AI for the Prediction of Clinical Outcomes Such as Death and Complications in Patients Hospitalized for COVID Pneumonia During the 4 Pandemic Waves at the ASST of Lecco
Status:
NOT_YET_RECRUITING
Status Verified Date:
2024-05
Last Known Status:
None
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 COVID-19
Brief Summary:
Predictive models can be applied in different areas during the emergency of the COVID-19 pandemic in fact they have proven important in supporting health systems in planning strategic decisions and in formulating health policies for the containment of the disease
The Covid-19 pandemic in particular has represented a real challenge for our healthcare system In Italy it was divided into four main waves each characterized by different types of patients and different therapeutic approaches progressively improved based on new scientific evidence
The objective is to carry out a study on the data of patients hospitalized for COVID-19 at the ASST of Lecco during all four pandemic waves with different degrees of severity of illness collecting the data of interest and applying it to they use artificial intelligence to identify recurring patterns of clinical outcome in terms of survival and secondary infectious complications so as to build new reliable predictive statistical models that can be used to predict the outcome of the patients themselves
The strong ambition of this project is that the application of artificial intelligence to data of such significant quantity can allow us to build valid statistical models which can then be hypothetically applied to any patient to predict based on anamnestic characteristics blood chemical parameters at baseline and at the set treatment the probability of survival and complications
The Covid-19 pandemic in particular has represented a real challenge for our healthcare system In Italy it was divided into four main waves each characterized by different types of patients and different therapeutic approaches progressively improved based on new scientific evidence
The objective is to carry out a study on the data of patients hospitalized for COVID-19 at the ASST of Lecco during all four pandemic waves with different degrees of severity of illness collecting the data of interest and applying it to they use artificial intelligence to identify recurring patterns of clinical outcome in terms of survival and secondary infectious complications so as to build new reliable predictive statistical models that can be used to predict the outcome of the patients themselves
The strong ambition of this project is that the application of artificial intelligence to data of such significant quantity can allow us to build valid statistical models which can then be hypothetically applied to any patient to predict based on anamnestic characteristics blood chemical parameters at baseline and at the set treatment the probability of survival and complications
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