Medical Imaging

Physicians utilize medical imaging to see inside the body to diagnose and treat patients. This includes computed tomography (CT), magnetic resonance imaging (MRI), X-ray, ultrasound, fluoroscopy, angiography,  and the nuclear imaging modalities of PET and SPECT. 

TeraRecon awarded 2 AI patents for medical imaging technology

TeraRecon announced Monday, March 2, that its AI solutions have been awarded two technology patents from the U.S. Patent and Trademark Office.

March 2, 2020

3 things radiologists need to realize AI’s full potential

AI is expected to impact radiology more than perhaps any other medical specialty. In healthcare, though, nothing is a given.

February 28, 2020
Coronavirus

On the hunt for coronavirus: AI solution scans imaging results for signs of fatal disease

Ping An has launched a new AI-powered system for evaluating CT scans for signs of the Wuhan coronavirus, or COVID-19.

February 28, 2020

FDA hosts 2-day workshop focused on AI, medical imaging

As AI continues to make a profound impact on the medical imaging industry, the FDA is hosting a two-day public workshop to discuss the benefits and risks of this powerful technology.

February 25, 2020
Damaged Organ

How AI can improve care, limit unnecessary surgeries for patients with kidney tumors

Machine learning-based CT texture analysis can help with the evaluation of solid renal masses, according to new findings published in Academic Radiology. Could this help reduce the number of patients undergoing unnecessary surgeries?

February 19, 2020

Inconsistent AI: Deep learning models for breast cancer fail to deliver after closer inspection

Numerous deep learning models can detect and classify imaging findings with a performance that rivals human radiologists. However, according to a new study published in the Journal of the American College of Radiology, many of these AI models aren’t nearly as impressive when applied to external data sets.

February 18, 2020
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10 key uses for AI in radiology that don’t involve interpretation

AI promises to make a titanic impact on radiology, but most of the attention tends to focus on its ability to identify important findings in medical images. What about the technology’s non-interpretive qualities?

February 13, 2020

AI’s role in assessing PET/CT images, diagnosing brain disease

Deep learning-based AI models can improve the segmentation of white matter in 18F-FDG PET/CT images, according to a new study published in the Journal of Digital Imaging. This helps radiologists with the early diagnosis of neurodegenerative disease.

February 11, 2020

Around the web

U.S. health systems are increasingly leveraging digital health to conduct their operations, but how health systems are using digital health in their strategies can vary widely.

When human counselors are unavailable to provide work-based wellness coaching, robots can substitute—as long as the workers are comfortable with emerging technologies and the machines aren’t overly humanlike.

A vendor that supplies EHR software to public health agencies is partnering with a health-tech startup in the cloud-communications space to equip state and local governments for managing their response to the COVID-19 crisis.

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