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. 

Thumbnail

Dozens of radiologists pitch in as French artificial intelligence firm raises nearly $9M

Paris-based Gleamer will use the funds to target U.S. FDA clearance for its BoneView AI solution that's already live in 50 hospitals. 

Thumbnail

AI matches radiologists at spotting lung cancer; S&P negative on imaging firm, plus more vendor news

Also, Philips inks seven-year deal with 1,006-bed hospital, RBMA taps help in Medicare cut fight, and FDA clears new radiology solutions. 

Machine-learning algorithm detects osteoarthritis prior to development

A machine-learning algorithm can predict the onset of osteoarthritis on MRI scans taken years before symptoms begin.

FDA’s new digital-health ‘center of excellence’ shows the shape it will take

The FDA has an eye trained on healthcare AI as it establishes a major operation to help advance the state of the art across digital health.

Thumbnail

Drones deliver AEDs in times of need

In some instances, the drone helped get an AED on the scene nearly three minutes faster than normal. 

Thumbnail

RapidAI raises $25M; Sectra signs top health systems; conference shelved, plus more radiology vendor news

Also, MITA warns FDA about inappropriate cleaning of imaging systems and Fujifilm partners with the CHEST Foundation. 

Thumbnail

Imaging-based AI ‘unlikely to replace the integrative reasoning and judgment of an astute physician’

Not only can different lung diseases look much the same in chest imaging, but distinct diagnoses may present widely dissimilar image patterns in the same patient at the same timepoint, too.

is ai the key to getting a handle on data

Is AI the Key to Getting a Handle on Data?

More data might sound like a good thing but, from a clinician’s point of view, too much of it could defeat the purpose of gathering it.