AI has the potential to help radiologists improve the efficiency and effectiveness of breast cancer imaging
January Lopez, M.D.

Headlines around the world the past several months declared that artificial intelligence (AI) is better at detecting breast cancer than human radiologists. Can artificial intelligence really read my own mammogram better than me? That would be intriguing, if it were true. 

May 27, 2020 — United Imaging's uMR OMEGA is designed to provide greater access to magnetic resonance imaging (MRI) with the world’s first ultra-wide 75-cm bore 3T MRI. The uMR OMEGA has an industry-leading table weight capacity of 680 lbs. and impeccable image quality provided by its homogeneity. uMR OMEGA has expanded capacity for bariatric imaging, and powerful gradients for high fat suppression.

In April, the U.S. Food and Drug Administration (FDA) cleared Intelerad’s InteleConnect EV solution for diagnostic image review on a range of mobile devices.

Fast, easily accessible patient images are crucial in this day and age, as imaging and medical records take on a new meaning during the COVID-19 pandemic. This has put a spotlight on picture archiving and communication systems (PACS), securing its growth and sustainability in this industry.
Technology becomes a state-of-the-art tool when it gets exposed to a structure that constantly tests it and allows it to evolve.
Reshu Gupta

In the history of medicine, researchers have found cures for many diseases, but cancer has been elusive. The earliest mentions of the disease can be found in journals written a few millennia back. The fight against cancer is that old and is still ongoing. During the same period, a lot of epidemics were turned into easily treatable diseases with the assistance of evolving technologies. Tuberculosis, typhoid and malaria are some former deadly diseases that have been reduced to puppet-like structures in the hands of physicians from their previous Goliath-like presence.
Miami Cancer Institute’s Proton Therapy Center is the first in South Florida and the region’s top destination for this leading-edge treatment. Proton therapy is an advanced form of radiation therapy that uses pencil beam scanning (PBS) technology.
Minesh Mehta, M.D.

Radiation therapy has advanced significantly in the last few decades as a result of a continued technological revolution, now allowing for safer and more precise procedures to treat a wide range of solid tumors.
Off-site imaging companies are playing a key role in the fight against COVID-19

After the worst of the COVID-19 pandemic has passed, hospitals are going to be overwhelmed with a large number of patients needing elective procedures. Off-site imaging companies are helping to prepare for that surge in patients by keeping imaging processes moving forward. Once hospital doors reopen, doctors will be prepared to care for their patients.
This is an artificial intelligence (AI) application from Lunit that automatically detects a collapsed lung (pneumothorax) on a Fujifilm mobile DR X-ray system. The AI automaticially scans all images as they are captured to determine if there is a critical finding and if so, immediately alerts the RT so it can be listed as a STAT read and so they cal alert the attending physician. Photo by Dave Fornell. #RSNA

There were several new developments in digital radiography (DR) technology at the 2019 Radiological Society of North America (RSNA) annual meeting. These trends included integration of artificial intelligence (AI) auto detection technologies, more durable glassless detector plates, and technologies to pull more diagnostic data out of X-ray imaging.

May 26, 2020  — Philips Healthcare recently received 510(k) clearance from the U.S. Food and Drug Administration (FDA) to market a wide range of its ultrasound solutions for the management of COVID-19 (SARS-CoV-2) related lung and cardiac complications.

May 12, 2020 — DiA Imaging Analysis, a provider of AI based ultrasound analysis solutions, said it received a government grant from the Israel Innovation Authority (IIA) to develop solutions for ultrasound imaging analysis of COVID-19 patients using artificial Intelligence (AI).

May 26, 2020 — The Radiological Society of North America (RSNA) announced today that its 106th Scientific Assembly and Annual Meeting, previously scheduled to be held Nov. 29 – Dec. 4, 2020, at McCormick Place in Chicago, will be held as an all-virtual event Nov. 29 – Dec. 5.

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