These solutions can now be commercialized and sold in 27 member states of the European Union, the Acceding countries as well as EFTA states.
The health system’s algorithms can detect early pneumonia on medical imaging with the precision of a subspecialist radiologist.
Lunit INSIGHT MMG was first introduced at the 2018 RSNA annual meeting.
Researchers from New York-based Mount Sinai Health System have combined artificial intelligence, imaging and clinical data to rapidly detect COVID-19 in patients.
POCUS technology from Butterfly Network expands screening capabilities, offering "an immediate and clear picture of what’s happening in a patient’s lungs."
The technique, called federated learning, is designed to enable collaboration among far-flung research organizations on machine learning models, while still protecting patient privacy.
Thirona and Delft Imaging have unveiled CAD4COVID, a tool to help triage COVID-19 cases and indicate the affected lung tissue.
“Instant triage” capability from behold.ai could speed diagnosis of COVID-19 and help ensure resources are allocated properly.
ADHA is working with RANZCR to launch the My Health Record CPD modules for clinical radiologists and imaging practices.
The pilot showcases an approach to AI integration that keeps impact on the radiologist's workflow to a minimum.