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. 

Does size matter? 3 key findings from a new study on developing AI for radiology research

When research teams are developing deep learning models, they have to make certain decisions about the image resolutions used in their work. For instance, should they always aim to use the largest images possible? Or are there times when smaller images can get the job done?  

January 24, 2020
Cheryl Petersilge, MD, MBA, with the department of regional radiology at the Cleveland Clinic, examined enterprise imaging—and how radiologists must integrate and collaborate with other departments. Her clinical perspective clinical perspective was published online in the October issue of the American Journal of Roentgenology.

Automated analysis tool assesses thyroid nodules as well as radiologists

Researchers have developed a new quantitative framework that evaluates thyroid nodules at a level comparable to two expert radiologists.

January 23, 2020
What should radiology be expending, in manpower as well as money, to help make medical imaging accessible to and from every clinical department? And what’s in enterprise imaging for radiology, anyway?

How AI reduces radiation dose, but not quality, of key imaging findings

Deep learning-based reconstruction (DLR) can reduce the radiation dose associated with low-dose chest and abdominal CT scans without sacrificing image quality, according to a new study published in the American Journal of Roentgenology.

January 22, 2020

Medical imaging, radiation therapy professionals urged to embrace AI

The American Society of Radiologic Technologists (ASRT) has published a new white paper on AI and its potential impact on the work of medical imaging and radiation therapy professionals.

January 20, 2020
brain mri

AI boosts quality of brain MRI images

AI algorithms can improve the quality of brain MRI images, according to new findings published in Neurocomputing.

January 20, 2020

Computer-animated counselors could improve patient understanding of breast cancer

Interacting with a computer-animated virtual counselor could help patients know more about complex health issues, including breast cancer, according to new findings published in the Journal of General Internal Medicine.

January 16, 2020

Meet Google’s secret weapon for improving AI speeds—no cloud required

AI is only going to be a true game-changer if it can work its magic with significant speed and efficiency.

January 15, 2020
RSNA 2019

RSNA reflects on 2019 annual conference, AI's importance to radiology

RSNA has announced that the official registration number for RSNA 2019 was 51,800, with another 6,754 participants registering for the online virtual meeting.

January 14, 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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