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?

AI continues to impact healthcare, even as some patients remain skeptical

The concept of healthcare providers working with AI technologies still worries some patients.

January 21, 2020

Radiology technologists ‘poised’ to embrace, supervise upcoming AI era

That's according to a recent white paper published by the American Society of Radiologic Technologists.

January 20, 2020

Virtual reality can take the stress out of breast cancer treatment

Women who wore a VR headset during chemotherapy reported less anxiety and a better mood following their appointment.

January 20, 2020

How blockchain could change the future of healthcare

Blockchain technology has not been fully embraced in healthcare compared to some other industries. However, blockchain’s impact on patient care could be quite massive.

January 20, 2020

Robotic cancer surgeries associated with lower OOP costs

Robotic surgeries are associated with lower out-of-pocket (OOP) costs and total payments than traditional procedures, according to new research published in JAMA Network Open.

January 17, 2020

AI turns low-quality brain scans into ‘super resolution’ MRIs

Experts believe their approach will allow specialists to pinpoint brain-related pathologies—such as physical injuries, cancer or language disorders, among other things—with improved accuracy.

January 17, 2020

NIH awards $725K grant to detect neonatal brain injury using photoacoustic imaging

Kamran Avanaki, PhD, will use the money to continue developing a point-of-care, 3D neonatal imaging system.

January 16, 2020

Radiology AI company Zebra Medical names new CEO, eyes expansion

Ohad Arazi will assume the role of chief executive at the Israel-based company on March 1, replacing co-founder Eyal Gura.

January 15, 2020

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