May 18, 2021 — Artificial intelligence (AI) derived heart measurements were able to predict COVID-19 (SARS-CoV-2) mortality on echocardiograms in an international cardiac ultrasound study of COVID-19 patients.

May 17, 2021 — The Radiological Society of North America (RSNA) announced today that 10,378 scientific and educational abstracts were submitted for presentation at its 

May 17, 2021 — It looks like in-person conferences are making a comeback. The Healthcare Information and Management Systems Society, Inc. (HIMSS) 2021 Conference, scheduled for August 9-13 in Las Vegas, will be one of the first to take a step back to normalcy. Today HIMSS issued a statement saying that "In designing HIMSS21 for an evolving world, HIMSS is prioritizing the health and safety of all attendees, exhibitors and staff.


Imaging Technology News (ITN) and its sister publication Diagnostic and Interventional Cardiology (DAIC) recently took home honors from the American Society of Business Publication Editors (ASBPE) 2021


May 14, 2021 — Artificial intelligence (AI)-driven healthcare has the potential to transform medical decision-making and treatment, but these algorithms must be thoroughly tested and continuously monitored to avoid unintended consequences to patients.

May 14, 2021 — Trained to see patterns by analyzing thousands of chest X-rays, a computer program predicted with up to 80 percent accuracy which COVID-19 patients would develop life-threatening complications within four days, a new study finds.

May 13, 2021 — The Centers for Disease Control and Prevention (CDC) just released a new statement relaxing the restrictions on wearing face masks for fully vaccinated people. The update states that fully vaccinated people no longer need to wear a mask or physically distance in any setting, except where required by federa

May 13, 2021 — Estimates of excess deaths, defined as the number of persons who have died from all causes, above the expected number of deaths for a given place and time, can provide a comprehensive account of mortality likely related to the COVID-19 pandemic, including deaths that are both directly and indirectly associated with COVID-19.

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