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.

Frequent AI use may increase radiologists’ risk of burnout
The problem is particularly pronounced among members of the specialty who already have a high workload or are skeptical of artificial intelligence.
3 radiology tech companies make Deloitte’s ‘Fast 500’ with revenue growth of 770% or more
Rad AI grabbed the highest ranking, at #19 on the list, achieving 8,710% revenue growth between 2020 and 2023, followed by Aidoc and PocketHealth.
Deep learning-based reconstructions nearly halve acquisition time of spinal MRIs
The accelerated exam does not come at the expense of image quality, according to new work published in Academic Radiology.
Industry Watcher’s Digest
An influential industry group, AdvaMed, really likes President-Elect Trump’s choice of Dr. Oz for CMS administrator.
5 ways to let AI raise patient satisfaction, elevate provider performance
It’s been years since AI proponents started promising big returns on healthcare providers’ investments in the technology. The results have yet to catch up with the pitches. What’s the holdup?

Mammography-based radiomics helps categorize BI-RADS 4 lesions

BI-RADS 4 lesions are considered among the most difficult and suspicious category of breast lesions.

October 22, 2019

AI solution for Canon Medical’s CT systems receives FDA approval

Canon Medical Systems USA announced Monday, Oct. 21, that the Advanced Intelligent Clear-IQ Engine (AiCE) for its ultra-high resolution CT scanner has gained FDA approval.

October 21, 2019

4 ways imaging informatics is central to AI in radiology

“With the ability to understand each of the different domains and translate between the experts in these domains, imaging informaticists are now essential players in the development, evaluation and deployment of AI in the clinical environment.”

October 21, 2019

Dynamic duo: AI teamed with radiologist diagnoses breast cancer with 90% accuracy

Researchers trained the machine by feeding it almost 230,000 digital mammography exams and more than 1 million images.

October 18, 2019

AI detects changes ‘invisible’ to humans, helps radiologists ID breast cancer

Trained on nearly 1 million screening mammography images, researchers from New York University found their algorithm could push radiologists’ ability to accurately identify breast cancer to nearly 90%.

October 18, 2019

Battling helplessness: Experts urge radiologists not to sit on the sideline as AI takes hold

Researchers are urging radiological professionals to stay visible and active as their institutions incorporate artificial intelligence into their imaging practices.

October 17, 2019

AI can help radiologists ID difficult pneumothorax cases

"The AI we use works almost like magic—and it will help radiologists save lives," said Antonio Sze-To, a postdoctoral fellow who worked on the project.

October 17, 2019

Microsoft, Nuance using AI to ‘power the exam room of the future’

Microsoft and Nuance Communications announced Thursday, Oct. 17, a collaboration on ambient clinical intelligence (ACI) solutions designed for healthcare providers.

October 17, 2019

Artificial Intelligence

Frequent AI use may increase radiologists’ risk of burnout

3 radiology tech companies make Deloitte’s ‘Fast 500’ with revenue growth of 770% or more

Deep learning-based reconstructions nearly halve acquisition time of spinal MRIs

Industry Watcher’s Digest

5 ways to let AI raise patient satisfaction, elevate provider performance