Coronavirus (COVID-19)

This page contains medical information for clinicians on the 2019 Novel Coronavirus (COVID-19, also called 2019-nCoV and now clinically SARS‐CoV‐2). This section includes articles on medical imaging of the virus for radiologists, new technologies being deployed to fight the virus and clinical information from various sources. Here are direct links for medical professionals to COVID-19 resources from the U.S. Food and Drug Administration (FDA)Centers for Disease Control (CDC) and the World Health Organization (WHO). Daily world-wide statistics on the coronavirus outbreak are available from the WHO Situations Reports. Centers for Medicare and Medicaid Services (CMS) frequently asked questions and answers (FAQs) for healthcare providers regarding Medicare payment for laboratory tests and other services related to the COVID-19

#COVID19 #Coronavirus #2019nCoV #Wuhanvirus #SARScov2 New studies use SIRD model to forecast COVID-19 spread; examine patient CT scans to correlate clinical features with mortality

Fig 1. A sample scoring on CT images of a 63-year-old woman from mortality group demonstrated a total score of 63. It was calculated as: for upper zone (A), 3 (consolidation) × 3 (50–75% distribution) × 2 (both right and left lungs) + 2 (ground glass opacity) ×1 (< 25% distribution) × 2 (both right and left lungs); for middle zone (B), 3 (consolidation) × 2 (25–50% distribution) × 2 (both right and left lungs) + 2 (ground glass opacity) × 2 (25–50% distribution) × 2 (both right and left lungs); for lower zone (C), 3 (consolidation) × (2 (25–50% distribution of the right lung) + 3 (50–75% distribution of the left lung)) + 2 (ground glass opacity) × (2 (25–50% distribution of the right lung) + 1 (< 25% distribution of the left lung)) Yuan et al, 2020 (CC BY 4.0)

News | Coronavirus (COVID-19) | April 01, 2020
April 1, 2020 — A new study, Data-based analysis, modelling and forecasting of the COVID-19 outbreak, published March...
This new artificial intelligence (AI) tool analyses X-ray images and is intended to support healthcare specialists manage COVID-19 cases
News | Artificial Intelligence | April 01, 2020
April 1, 2020 — Thirona and Delft Imaging launched CAD4COVID. This new artificial intelligence (AI) tool analyses X-ray...
#COVID19 #Coronavirus #2019nCoV #Wuhanvirus #SARScov2 Company emphasizes faster, more advanced CTs, making imaging easier for COVID-19 patients
News | Computed Tomography (CT) | April 01, 2020
April 1, 2020 — United Imaging, a global leader in advanced medical imaging and radiotherapy equipment, is preparing to...
#COVID19 #Coronavirus #2019nCoV #Wuhanvirus #SARScov2 A brief article from Henry Ford Health System in Detroit, published today in Radiology, reports on the first presumptive case of COVID-19–associated acute necrotizing hemorrhagic encephalopathy.

A, Image from noncontrast head CT demonstrates symmetric hypoattenuation within the bilateral medial thalami (arrows). B, Axial CT venogram demonstrates patency of the cerebral venous vasculature, including the internal cerebral veins (arrows). C, Coronal reformat of aCT angiogram demonstrates normal appearance of the basilar artery and proximal posterior cerebral arteries. Image courtesy of the Radiological Society of North America (RSNA)

News | Coronavirus (COVID-19) | March 31, 2020
March 31, 2020 — A brief article from Henry Ford Health System in Detroit, published today in Radiology, reports on the...
#COVID19 #Coronavirus #2019nCoV #Wuhanvirus #SARScov2 The Chinese start-up company Infervision launches its AI-based solution InferRead CT Lung Covid-19 also in Europe
News | Artificial Intelligence | March 31, 2020
March 31, 2020 — Lung infections generated by the coronavirus can be detected in computed tomography (CT) images....
#COVID19 #Coronavirus #2019nCoV #Wuhanvirus #SARScov2 Doctor in our hospital is using this intelligent system for accurate diagnosis

Doctor in our hospital is using this intelligent system for accurate diagnosis. (Photo: Business Wire)

News | Artificial Intelligence | March 31, 2020
March 31, 2020 — The Intelligent Evaluation System of chest computed tomography (CT) for COVID-19, developed by YITU...
#COVID19 #Coronavirus #2019nCoV #Wuhanvirus #SARScov2 behold.ai has developed the artificial intelligence-based red dot algorithm which can identify within 30 seconds abnormalities in chest X-rays. Wellbeing Software operates Cris, a widely used UK radiology Information System (RIS), which is installed in over 700 locations
News | Artificial Intelligence | March 31, 2020
March 31, 2020 — Two British companies at the leading edge of medical imaging technology are working together on a plan...
#COVID19 #Coronavirus #2019nCoV #Wuhanvirus #SARScov2
News | Coronavirus (COVID-19) | March 31, 2020
March 31, 2020 — In a letter to its members, Society of Nuclear Medicine and Molecular Imaging (SNMMI) President Vasken...
AI tool predicts which patients newly infected with COVID-19 will eventually develop severe respiratory disease #COVID19 #Coronavirus #2019nCoV #Wuhanvirus #SARScov2
News | Artificial Intelligence | March 31, 2020
March 31, 2020 — An artificial intelligence tool accurately predicted which patients newly infected with the COVID-19...
A new framework from an international team of experts aims to help protect patients and providers, and conserve protective equipment for frontline healthcare workers #COVID19 #Coronavirus #2019nCoV #Wuhanvirus #SARScov2
News | Prostate Cancer | March 30, 2020
March 30, 2020 — In the wake of the COVID-19 pandemic, a team of radiation oncologists from the U.S. and U.K. is...
RSNA's open data repository will compile images and correlative data to create a comprehensive source for COVID-19 research and education efforts #COVID19 #Coronavirus #2019nCoV #Wuhanvirus #SARScov2
News | Coronavirus (COVID-19) | March 30, 2020
March 30, 2020 — The medical imaging community around the world is uniting to help address the COVID-19 pandemic. The...
A physician working in a coronavirus care center nearby Daegu, South Korea, is using Lunit INSIGHT CXR to interpret chest X-ray image of a coronavirus patient. #COVID19 #Coronavirus #2019nCoV #Wuhanvirus #SARScov2

A physician working in a coronavirus care center nearby Daegu, South Korea, is using Lunit INSIGHT CXR to interpret chest X-ray image of a coronavirus patient. Photo by Seoul National University Hospital

News | Artificial Intelligence | March 30, 2020
March 30, 2020 — Lunit, a medical AI software company that develops AI-powered analysis of lung diseases via chest X-...
Phase III response to the COVID-19 public health emergency (PHE) CARES Act signed into law #CARESAct #COVID19 #Coronavirus #2019nCoV #Wuhanvirus #SARScov2
Feature | Coronavirus (COVID-19) | March 28, 2020 | By Melinda Taschetta-Millane
On March 27, the House of Representatives approved a historic $2 trillion stimulus package and sent it to President...
In the light of the coronavirus outbreak, MILabs has enhanced its line of high-performance CT scanners to even better detect the disease #COVID19 #Coronavirus #2019nCoV #Wuhanvirus #SARScov2
News | Computed Tomography (CT) | March 27, 2020
March 27, 2020 — Based on recent scientific research, diagnostic X-ray computed tomography (CT) is able to detect COVID...
CoronaCare is designed to help healthcare providers track COVID-19 (coronavirus) related symptoms of potentially infected patients. The platform enables communication with patients outside of facility walls and the ability to request the return of high-risk patients for more in-depth care. #COVID19 #Coronavirus #2019nCoV #Wuhanvirus #SARScov2
News | Coronavirus (COVID-19) | March 27, 2020
March 27, 2020 — PaxeraHealth has spent years building and bettering its solutions and has been poised to respond to...
AI vendor Infervision's InferRead CT Pneumonia software uses artificial intelligence-assisted diagnosis to improve the overall efficiency of the radiology department. It is being developed in China as a high sensitivity detection aid for novel coronavirus pneumonia (COVID-19). #COVID19 #coronavirus #SARScov2

AI vendor Infervision's InferRead CT Pneumonia software uses artificial intelligence-assisted diagnosis to improve the overall efficiency of the radiology department. It is being developed in China as a high sensitivity detection aid for novel coronavirus pneumonia (COVID-19).

Feature | Coronavirus (COVID-19) | March 27, 2020 | Jilian Liu, M.D., HIMSS Greater China
An older couple walked into the Hubei Provincial Hospital of Integrated Chinese and Western Medicine near their...
Videos | Coronavirus (COVID-19) | March 27, 2020
Regina Druz, M.D., FASNC, a member of the American Society of Nuclear Cardiology (ASNC) Board of Directors, chairwomen...
Videos | Teleradiology | March 26, 2020
John Kim, M.D., chairman, Department of Radiology, THR Presbyterian Plano, Texas, and chief technology officer at Texas...
#COVID19 #Coronavirus #2019nCoV #Wuhanvirus #SARScov2

Typical CT imaging features for COVID-19. Unenhanced, thin-section axial images of the lungs in a 52-year-old man with a positive RT-PCR (A-D) show bilateral, multifocal rounded (asterisks) and peripheral GGO (arrows) with superimposed interlobular septal thickening and visible intralobular lines (“crazy-paving”). Routine screening CT for diagnosis or exclusion of COVID-19 is currently not recommended by most professional organizations or the US Centers for Disease Control and Prevention. Image courtesy of RSNA

News | Coronavirus (COVID-19) | March 26, 2020
March 26, 2020 — The Radiological Society of North America (RSNA) has published an expert consensus statement on...
Videos | Coronavirus (COVID-19) | March 25, 2020
Jilan Liu, M.D., MHA, CEO for the HIMSS Greater China, explains how health information technology (HIT) was leveraged...