April 9, 2020 — RefleXion Medical, a therapeutic oncology company pioneering the use of biology-guided radiotherapy (BgRT) to treat all stages of cancer, announced the first sale of its RefleXion X1 machine to the Stanford Cancer Institute.

April 9, 2020 — Radiology imaging  and radiotherapy systems vendor United Imaging is responding to customer requests for readily transportable computed tomography (CT) scanners in the U.S. to help in the fight against COVID-19.

April 9, 2020 — Care Mentor AI is developing an artificial intelligence (AI) system that will accelerate the analysis of chest radiographs and computed tomography (CT) scans of patients that probably have viral pneumonia, which now, in the current epidemiological situation, is most likely caused by

April 7 2020 —  Volpara Solutions announced it is collaborating with DetectED-X, an online radiology training and research tool, to provide free access to learning modules on how radiologists can spot

April 7, 2020 — A multinational consensus statement from the Fleischner Society on the role of chest imaging in the management of patients with COVID-19 was jointly published today in the journals Radiology and Chest.

April 7, 2020 — -NANO-X IMAGING LTD (Nanox), an innovative medical imaging company, announces its collaboration with 

April 7, 2020 — An international panel of cancer experts has recommended a one-week course of radiotherapy and delaying surgery as the best way to treat patients with bowel cancer during the COVID-19 pandemic.

April 6, 2020 — Children and teenagers with COVID-19 showed distinctive clinical and computed tomography (CT) findings, according to a new study published today in Radiology: Cardiothoracic Imaging. Compared to adults, pediatric patients generally had milder clinical symptoms, fewer positive CTs, and less extensive involvement on imaging.

A recent study earlier this year in the journal Nature, which included researchers from Google Health London, demonstrated that artificial intelligence (AI) technology outperformed radiologists in diagnosing breast cancer on mammograms

A recent study earlier this year in the journal Nature, which included researchers from Google Health London, demonstrated that artificial intelligence (AI) technology outperformed radiologists in diagnosing breast cancer on mammograms. This study is the latest to fuel ongoing speculation in the radiology industry that AI could potentially replace radiologists.
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