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. 

RSS icon
Thumbnail

AI classifies free-text pathology reports

Machine learning algorithms can classify pathology reports and help providers track follow-up imaging recommendations, according to new findings published in Radiology: Artificial Intelligence.

Thumbnail

AI can triage screening mammograms, save radiologists time

Using deep learning models to triage screening mammograms can improve radiologist specificity without hurting sensitivity, according to new research published in Radiology.

Thumbnail

AI improves accuracy, cuts reading times associated with DBT exams

Deep learning can improve the accuracy and efficiency of digital breast tomosynthesis (DBT) examinations, according to new findings published in Radiology: Artificial Intelligence.

Thumbnail

RSNA 2019 to feature new, larger AI Showcase

RSNA announced Wednesday, July 31, that it would be expanding its AI Showcase at RSNA 2019 in Chicago.

Thumbnail

Progenics Pharmaceuticals working with VA on AI research program

Progenics Pharmaceuticals, a New York City-based oncology and imaging company, has announced a new collaboration aimed at improving care for veterans with prostate cancer.

Thumbnail

AI detects urinary tract stones on CT scans

Convolutional neural networks (CNNS) can detect urinary tract stones on unenhanced CT scans with significant accuracy, according to new findings published in Radiology: Artificial Intelligence.

Thumbnail

Medtronic to distribute Viz.ai’s LVO stroke solution through new partnership

Medtronic and Viz.ai have announced a new partnership aimed at speeding up the implementation of Viz.ai’s AI solution for detecting suspected large vessel occlusion (LVO) strokes.

iCAD’s AI solution for 2D mammography receives CE certification

iCAD announced Thursday, July 11, that its ProFound AI solution for 2D mammography has gained CE mark approval.

Displaying 529 - 536 of 748

Around the web

Health Imaging
Nearly $800,000 settlement offered to family of man who died during MRI exam

The patient, who was being cared for in the ICU, was not accompanied or monitored by nursing staff during his exam, despite being sedated.

Cardiovascular Business
Global shortage of nuclear imaging isotopes may be over

The nuclear imaging isotope shortage of molybdenum-99 may be over now that the sidelined reactor is restarting. ASNC's president says PET and new SPECT technologies helped cardiac imaging labs better weather the storm.

Cardiovascular Business
‘A huge win’: CMS significantly increases Medicare payments for cardiac CT

CMS has more than doubled the CCTA payment rate from $175 to $357.13. The move, expected to have a significant impact on the utilization of cardiac CT, received immediate praise from imaging specialists.