RSNA tallied more than 170 self-identified image analysis companies at last year's annual meeting, with that figure only expected to grow.
The collaboration is one of 27 teams across the U.S. participating in a massive new consortium, the Psychosis Risk Outcomes Network, or ProNET.
The approach accurately detected facial muscle abnormalities associated with the condition, according to research published in Clinical Radiology.
The U.S. Food and Drug Administration cleared MammoScan for clinical use back in March.
Deep learning detected 633 of the 649 aneurysms, but researchers explained it should only be used to assist experts' interpretations.
As part of their effort, a University at Buffalo-led team will develop flexible and wearable imaging hardware.
The findings were presented virtually at the American Society for Radiation Oncology's Annual Meeting.
In one case, the tracer detected a cerebral abnormality that occurred three years prior to imaging, according to Massachusetts General Hospital researchers.
The ENIGMA project is made up of 170 experts from 13 countries.
Legal experts at Georgetown University and ETH Zurich’s Center for Law & Economics recently shared their experimental study in the Journal of Nuclear Medicine.
The approach imaged samples smaller than 0.5 mm, which is difficult even under pathological analysis.
More than 10,000 chest x-rays were used to develop the lesion-aware convolutional neural network, known as LACNN.