The Challenge of Advanced Medical Imaging Data Analysis in COVID-19

Dear Colleagues,

The COVID-19 pandemic has profoundly impacted healthcare systems around the world, leading to increased efforts in all steps for patient management. Facing this worldwide emergency, imaging experts have extensively put in play standard validated techniques (X-ray, CT) but also firmly invested in and tested new advanced tools. Namely, COVID-19 has challenged the most recent advances and improvements in Artificial Intelligence (AI) and quantitative and computational imaging. Even straightforward imaging techniques, such as lung ultrasound, have been employed from new perspectives. Data analysis and integration have been implemented over the last decade, allowing the assimilation of radiological, clinical, and laboratory information. COVID-19 has shown the usefulness of these tools in diagnosis, patient stratification, and prognostic evaluation. This Special Issue will focus on pertinent research papers, commentaries, and reviews informing readers about the role and challenges of the leading innovative imaging tools and new employment of strengthened techniques in assessing COVID-19 patients with lung disease. We welcome submissions describing computational and quantitative imaging, application of Artificial Intelligence, and machine learning in the diagnosis, follow-up, and prognosis of COVID-19 lung disease. Accepted modalities will include chest X-ray, CT, and lung ultrasound.

Dr. Pietro Andrea Bonaffini
Dr. Clarissa Valle
Guest Editors

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