Artificial intelligence for differentiating COVID-19 from other viral pneumonias on CT: comparative analysis of different models based on quantitative and radiomic approaches.
Giulia ZorziLuca BertaFrancesco RizzettoCristina De MattiaMarco Maria Jacopo FelisiStefano CarrazzaSilvia Nerini MolteniChiara VismaraFrancesco ScaglioneAngelo VanzulliAlberto TorresinPaola Enrica ColomboPublished in: European radiology experimental (2023)
Four AI-based models for classifying patients as COVID-19 or non-COVID-19 viral pneumonia showed good diagnostic performances that could support clinical decisions.
Keyphrases
- sars cov
- artificial intelligence
- coronavirus disease
- machine learning
- end stage renal disease
- big data
- deep learning
- respiratory syndrome coronavirus
- ejection fraction
- newly diagnosed
- chronic kidney disease
- peritoneal dialysis
- computed tomography
- high resolution
- intensive care unit
- image quality
- positron emission tomography
- respiratory failure
- dual energy