Subspecialties: Page 287

New York neurorads share COVID-19 best practices

By Kate Madden Yee

New York City has been dramatically affected by the COVID-19 crisis, and neuroradiologists there were at times the first to identify the disease incidentally via imaging exams performed for other purposes, according to two presentations delivered on Monday at the virtual RSNA 2020 conference.

November 29, 2020

AI developer expands portfolio of cerebrovascular offerings

A Silicon Valley-based company called RapidAI is expanding its suite of artificial intelligence (AI) algorithms for detecting cerebrovascular conditions. The company won the Minnies award for Best New Radiology Vendor, and AuntMinnie.com spoke with RapidAI about its technology in this video interview.

November 29, 2020

CT quantifies COVID-19 severity, ongoing conditions

By Kate Madden Yee

Throughout this year's COVID-19 pandemic, chest CT has proved to be a valuable tool for diagnosing the illness in particular clinical situations. CT's worth for COVID-19 diagnosis and triage was the subject of a trio of presentations on Sunday afternoon at RSNA 2020.

November 28, 2020

AI algorithm can detect, quantify brain infarcts

By Erik L. Ridley

Researchers discussed how they used a deep-learning algorithm to detect, quantify, and assess the severity of infarcts in the brain on diffusion-weighted MRI exams in acute ischemic stroke patients in a Sunday presentation at the virtual RSNA 2020 meeting.

November 28, 2020

RSNA awards Margulis prize to COVID-19 paper

By AuntMinnie.com staff writers

The RSNA has awarded its Alexander R. Margulis Award for Scientific Excellence to a radiologist in China who was one of the first to use CT to investigate a mysterious lung condition that later came to be known as COVID-19. The award recognizes the best original scientific paper of the year published in Radiology.

November 28, 2020

What's the German experience of COVID-19 imaging?

By Philip Ward

Radiologists from Hamburg, Germany, have presented comprehensive new data at RSNA 2020 about the use of CT and radiography in COVID-19 cases during the first wave of the pandemic.

November 28, 2020

fMRI reveals why big games create lasting memories

By Kate Madden Yee

Functional MRI reveals how feelings of surprise that people experience -- for example, while tracking ball possession changes in a sports broadcast -- create shifts in brain patterns that are key to the formation of strong memories, according to a study published November 25 in the journal Neuron.

November 25, 2020

CT shows damaging effects of wood smoke on lungs

By Kate Madden Yee

CT shows damage caused to the lungs in people who cook with natural fuels such as wood or brush, which can produce pollutants and toxins when burned, according to research to be presented at the upcoming virtual RSNA 2020 meeting.

November 24, 2020

DarwinAI gets $750K for COVID-19 AI software

By AuntMinnie.com staff writers

Artificial intelligence (AI) firm DarwinAI has received $750,000 from Lockheed Martin to support the development of its COVID-Net initiative, which aims to utilize AI to diagnose COVID-19 on chest radiographs.

November 24, 2020

MGH researchers develop portable MRI scanner

By AuntMinnie.com staff writers

Researchers from Massachusetts General Hospital (MGH) in Boston have developed a compact, portable head-only MRI scanner that can be used in an ambulance, taken to hospital bedside, or installed in small clinics, according to a study published November 23 in Nature Biomedical Engineering.

November 24, 2020

Clarius scanner now supports cardiac imaging

By AuntMinnie.com staff writers

Handheld-ultrasound technology developer Clarius Mobile Health said that its PA HD scanner can now be utilized to perform cardiac imaging exams.

November 24, 2020

AI can detect COVID-19 quickly, accurately on x-rays

By Erik L. Ridley

Within seconds, an artificial intelligence (AI) algorithm can assess chest x-rays for the presence of COVID-19, enabling rapid screening and triage of patients arriving at hospitals for reasons other than the virus, according to research published online November 24 in Radiology.

November 24, 2020

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