Chest x-ray severity score in COVID-19 patients on emergency department admission: a two-centre study
CG Monaco, F Zaottini, S Schiaffino, A Villa… - European radiology …, 2020 - Springer
Background Integration of imaging and clinical parameters could improve the stratification of
COVID-19 patients on emergency department (ED) admission. We aimed to assess the …
COVID-19 patients on emergency department (ED) admission. We aimed to assess the …
A novel CovidDetNet deep learning model for effective COVID-19 infection detection using chest radiograph images
The suspected cases of COVID-19 must be detected quickly and accurately to avoid the
transmission of COVID-19 on a large scale. Existing COVID-19 diagnostic tests are slow and …
transmission of COVID-19 on a large scale. Existing COVID-19 diagnostic tests are slow and …
Artificial intelligence on COVID-19 pneumonia detection using chest xray images
Recent studies show the potential of artificial intelligence (AI) as a screening tool to detect
COVID-19 pneumonia based on chest x-ray (CXR) images. However, issues on the datasets …
COVID-19 pneumonia based on chest x-ray (CXR) images. However, issues on the datasets …
Position paper on COVID-19 imaging and AI: From the clinical needs and technological challenges to initial AI solutions at the lab and national level towards a new …
In this position paper, we provide a collection of views on the role of AI in the COVID-19
pandemic, from clinical requirements to the design of AI-based systems, to the translation of …
pandemic, from clinical requirements to the design of AI-based systems, to the translation of …
Artificial intelligence with deep learning in nuclear medicine and radiology
The use of deep learning in medical imaging has increased rapidly over the past few years,
finding applications throughout the entire radiology pipeline, from improved scanner …
finding applications throughout the entire radiology pipeline, from improved scanner …
Explainable AI, but explainable to whom? An exploratory case study of xAI in healthcare
J Gerlings, MS Jensen, A Shollo - … Artificial Intelligence in Healthcare: Vol 2 …, 2022 - Springer
Advances in AI technologies have resulted in superior levels of AI-based model
performance. However, this has also led to a greater degree of model complexity, resulting …
performance. However, this has also led to a greater degree of model complexity, resulting …
[HTML][HTML] AI applications in robotics, diagnostic image analysis and precision medicine: Current limitations, future trends, guidelines on CAD systems for medicine
Background AI in healthcare has been recognized by both academia and industry in
revolutionizing how healthcare services will be offered by healthcare service providers and …
revolutionizing how healthcare services will be offered by healthcare service providers and …
Chest x-ray in the COVID-19 pandemic: Radiologists' real-world reader performance
A Cozzi, S Schiaffino, F Arpaia, G Della Pepa… - European journal of …, 2020 - Elsevier
Purpose To report real-world diagnostic performance of chest x-ray (CXR) readings during
the COVID-19 pandemic. Methods In this retrospective observational study we enrolled all …
the COVID-19 pandemic. Methods In this retrospective observational study we enrolled all …
Current and emerging artificial intelligence applications in chest imaging: a pediatric perspective
S Schalekamp, WM Klein, KG van Leeuwen - Pediatric Radiology, 2022 - Springer
Artificial intelligence (AI) applications for chest radiography and chest CT are among the
most developed applications in radiology. More than 40 certified AI products are available …
most developed applications in radiology. More than 40 certified AI products are available …
[HTML][HTML] Robust weakly supervised learning for COVID-19 recognition using multi-center CT images
The world is currently experiencing an ongoing pandemic of an infectious disease named
coronavirus disease 2019 (ie, COVID-19), which is caused by the severe acute respiratory …
coronavirus disease 2019 (ie, COVID-19), which is caused by the severe acute respiratory …