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

P Soda, NC D'Amico, J Tessadori, G Valbusa… - Medical image …, 2021 - Elsevier
Recent epidemiological data report that worldwide more than 53 million people have been
infected by SARS-CoV-2, resulting in 1.3 million deaths. The disease has been spreading …

Artificial intelligence applied on chest X-ray can aid in the diagnosis of COVID-19 infection: a first experience from Lombardy, Italy

I Castiglioni, D Ippolito, M Interlenghi, CB Monti… - MedRxiv, 2020 - medrxiv.org
Objectives We tested artificial intelligence (AI) to support the diagnosis of COVID-19 using
chest X-ray (CXR). Diagnostic performance was computed for a system trained on CXRs of …

Deep learning for screening covid-19 using chest x-ray images

S Basu, S Mitra, N Saha - 2020 IEEE symposium series on …, 2020 - ieeexplore.ieee.org
With the ever increasing demand for screening millions of prospective “novel coronavirus” or
COVID-19 cases, and due to the emergence of high false negatives in the commonly used …

[HTML][HTML] Determination of disease severity in COVID-19 patients using deep learning in chest X-ray images

M Blain, MT Kassin, N Varble, X Wang… - Diagnostic and …, 2021 - ncbi.nlm.nih.gov
PURPOSE Chest X-ray plays a key role in diagnosis and management of COVID-19 patients
and imaging features associated with clinical elements may assist with the development or …

Machine learning applied on chest x-ray can aid in the diagnosis of COVID-19: a first experience from Lombardy, Italy

I Castiglioni, D Ippolito, M Interlenghi, CB Monti… - European radiology …, 2021 - Springer
Background We aimed to train and test a deep learning classifier to support the diagnosis of
coronavirus disease 2019 (COVID-19) using chest x-ray (CXR) on a cohort of subjects from …

Interpretable artificial intelligence framework for COVID-19 screening on chest X-rays

N Tsiknakis, E Trivizakis… - Experimental and …, 2020 - spandidos-publications.com
COVID-19 has led to an unprecedented healthcare crisis with millions of infected people
across the globe often pushing infrastructures, healthcare workers and entire economies …

Unveiling covid-19 from chest x-ray with deep learning: a hurdles race with small data

E Tartaglione, CA Barbano, C Berzovini… - International Journal of …, 2020 - mdpi.com
The possibility to use widespread and simple chest X-ray (CXR) imaging for early screening
of COVID-19 patients is attracting much interest from both the clinical and the AI community …

Artificial intelligence applied to chest X-ray images for the automatic detection of COVID-19. A thoughtful evaluation approach

JD Arias-Londono, JA Gomez-Garcia… - Ieee …, 2020 - ieeexplore.ieee.org
Current standard protocols used in the clinic for diagnosing COVID-19 include molecular or
antigen tests, generally complemented by a plain chest X-Ray. The combined analysis aims …

Covid-19 detection using cnn transfer learning from x-ray images

T Majeed, R Rashid, D Ali, A Asaad - Medrxiv, 2020 - medrxiv.org
The Covid-19 first occurs in Wuhan, China in December 2019. After that the virus spread all
around the world and at the time of writing this paper the total number of confirmed cases …

COVID-19 classification of X-ray images using deep neural networks

D Keidar, D Yaron, E Goldstein, Y Shachar, A Blass… - European …, 2021 - Springer
Objectives In the midst of the coronavirus disease 2019 (COVID-19) outbreak, chest X-ray
(CXR) imaging is playing an important role in diagnosis and monitoring of patients with …