AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study

Author:

Soda Paolo,D’Amico Natascha Claudia,Tessadori Jacopo,Valbusa Giovanni,Guarrasi Valerio,Bortolotto Chandra,Akbar Muhammad Usman,Sicilia Rosa,Cordelli Ermanno,Fazzini Deborah,Cellina Michaela,Oliva Giancarlo,Callea Giovanni,Panella Silvia,Cariati Maurizio,Cozzi Diletta,Miele Vittorio,Stellato Elvira,Carrafiello Gianpaolo,Castorani Giulia,Simeone Annalisa,Preda Lorenzo,Iannello Giulio,Del Bue Alessio,Tedoldi Fabio,Alí Marco,Sona Diego,Papa Sergio

Funder

Amazon Web Services

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference61 articles.

1. American College of Radiology, 2020. ACR Recommendations for the use of Chest Radiography and Computed Tomography (CT) for Suspected COVID-19 Infection. https://www.acr.org/Advocacy-and-Economics/ACR-Position-Statements/Recommendations-for-Chest-Radiography-and-CT-for-Suspected-COVID19-Infection. Online; accessed November, 30 2020.

2. Correlation of ChestCT and RT-PCR testing in coronavirus disease 2019 (COVID-19) in China: a report of 1014 cases;Ai;Radiology,2020

3. Parameter tuning or default values? An empirical investigation in search-based software engineering;Arcuri;Empir. Softw. Eng.,2013

4. AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia;Chassagnon;Med. Image Anal.,2020

5. Clinical characteristics of 113 deceased patients with coronavirus disease 2019: retrospective study;Chen;BMJ,2020

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