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

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/aiforcovid-predicting-the-clinical-outcomes-in-patients-with-covid-19-applying/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Paolo Soda,Natascha Claudia D’Amico,Jacopo Tessadori,Giovanni Valbusa,Valerio Guarrasi,Chandra Bortolotto,Muhammad Usman Akbar,Rosa Sicilia,Ermanno Cordelli,Deborah Fazzini,Michaela Cellina,Giancarlo Oliva,Giovanni Callea,Silvia Panella,Maurizio Cariati,Diletta Cozzi,Vittorio Miele,Elvira Stellato,Gianpaolo Carrafiello,Giulia Castorani,Annalisa Simeone,Lorenzo Preda,Giulio Iannello,Alessio Del Bue,Fabio Tedoldi,Marco Alì,Diego Sona,Sergio Papa |
| Citations | 91 |
| DOI | 10.1016/j.media.2021.102216 |
| Fields | Medicine |
| Open Access | true |
| OA Status | green |
| OA URL | https://hdl.handle.net/11573/1610498 |
| OpenAlex ID | https://openalex.org/W3197337676 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Chandra Bortolotto](https://scholariq.org/researchers/chandra-bortolotto/)

## Paper primary topic

- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)

## Paper topics

- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.