Imaging

By Dean Koh 12:30 am June 25, 2020
These solutions can now be commercialized and sold in 27 member states of the European Union, the Acceding countries as well as EFTA states.
UC San Diego uses AWS cloud to deploy homegrown AI algorithms for COVID-19
By Bill Siwicki 11:57 am June 24, 2020
The health system’s algorithms can detect early pneumonia on medical imaging with the precision of a subspecialist radiologist.

Credit: Lunit

By Dean Koh 07:00 am June 02, 2020
Lunit INSIGHT MMG was first introduced at the 2018 RSNA annual meeting.

(Photo: Getty Images)

By Kat Jercich 09:24 am May 20, 2020
Researchers from New York-based Mount Sinai Health System have combined artificial intelligence, imaging and clinical data to rapidly detect COVID-19 in patients.

Butterfly iQ point-of-care ultrasound device

By Mike Miliard 02:46 pm May 14, 2020
POCUS technology from Butterfly Network expands screening capabilities, offering "an immediate and clear picture of what’s happening in a patient’s lungs."
By Mike Miliard 02:46 pm May 11, 2020
The technique, called federated learning, is designed to enable collaboration among far-flung research organizations on machine learning models, while still protecting patient privacy.
Vendors debut AI X-ray system for COVID-19, give it away for free

A heatmap in the CAD4COVID AI X-ray system.

By Bill Siwicki 10:04 am April 06, 2020
Thirona and Delft Imaging have unveiled CAD4COVID, a tool to help triage COVID-19 cases and indicate the affected lung tissue.
AI algorithm IDs abnormal chest X-rays from COVID-19 patients
By Bill Siwicki 11:13 am March 23, 2020
“Instant triage” capability from behold.ai could speed diagnosis of COVID-19 and help ensure resources are allocated properly.
By Dean Koh 11:25 pm February 27, 2020
ADHA is working with RANZCR to launch the My Health Record CPD modules for clinical radiologists and imaging practices. 
By Jonah Comstock 07:00 am February 18, 2020
The pilot showcases an approach to AI integration that keeps impact on the radiologist's workflow to a minimum.