Artificial Intelligence

Artificial intelligence (AI) is becoming a crucial component of healthcare to help augment physicians and make them more efficient. In medical imaging, it is helping radiologists more efficiently manage PACS worklists, enable structured reporting, auto detect injuries and diseases, and to pull in relevant prior exams and patient data. In cardiology, AI is helping automate tasks and measurements on imaging and in reporting systems, guides novice echo users to improve imaging and accuracy, and can risk stratify patients. AI includes deep learning algorithms, machine learning, computer-aided detection (CAD) systems, and convolutional neural networks. 

Only 30% of radiologists currently using artificial intelligence as part of their practice

The finding is part of the the American College of Radiology’s Data Science Institute's inaugural annual survey, published in JACR

April 21, 2021
Heart AI

Canon Medical grabs FDA clearance for deep learning aid to improve cardiac CT

With the recent greenlight, the Tustin, California, company can now offer its Deep Learning Spectral CT tool for cardiovascular applications. 

April 21, 2021
Researcher considers greater role of AB-MRI for patients with personal history of breast cancer

Imaging operator RadNet notches first FDA clearance for AI mammography assistant

The publicly traded company and its artificial intelligence subsidiary DeepHealth called the Food and Drug Administration's decision a "major milestone."  

April 20, 2021
Microsoft

Microsoft to acquire radiology vendor Nuance in $19.7B deal

Officials with the Redmond, Washington-based tech giant said healthcare artificial intelligence was a key piece of the blockbuster acquisition. 

April 12, 2021

Aidoc forms strategic alliance with Rad Partners, Hitachi deal finalized, plus more vendor news

Plus, FDA clears Philips' SmartCT application software, Siemens takes key step in Varian acquisition and more market moves. 

April 7, 2021
Researcher considers greater role of AB-MRI for patients with personal history of breast cancer

Investor-owned RadNet foresees future where AI potentially reads all mammograms

Chief Financial Officer Mark Stolper recently discussed the Los Angeles-based imaging giant’s strategy during the the Sidoti & Company Spring 2021 Virtual Investor Conference. 

March 26, 2021
Texting

Automated reminders just as effective as traditional methods at addressing imaging no-shows

They’re also less costly and more efficient than call centers or physical mailers, Michigan Medicine experts wrote in Academic Radiology

March 24, 2021
COVID-19 coronavirus

Of 300-plus imaging-based AI models for COVID-19 diagnosis, zero suitable for clinical use

Numerous publications have touted the use of AI to pinpoint the novel coronavirus on X-ray and CT scans, but U.K. experts aren't impressed.

March 15, 2021

Around the web

"This was an unneeded burden, which was solely adding to the administrative hassles of medicine," said American Society of Nuclear Cardiology President Larry Phillips.

SCAI and four other major healthcare organizations signed a joint letter in support of intravascular ultrasound. 

The newly approved AI models are designed to improve the detection of pulmonary embolisms and strokes in patients who undergo CT scans.

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