Deep-learning analysis of eye scans has proven superior to conventional analysis of the same images for the task of detecting and tracking vision diseases like glaucoma and age-related macular degeneration.
Terason, a portable ultrasound manufacturer based in Massachusetts, is partnering with DiA Imaging Analysis, which is headquartered in Israel, to bring AI to healthcare providers using Terason machines for heart imaging.
Gadolinium-based contrast agents (GBCAs) can often bring out the best in MRI, but they’re controversial and thus increasingly avoided. A pilot study in Germany shows how an algorithm might substitute for an injection to track tumors of the brain and spinal cord (aka gliomas).
Aided by augmented reality, AI and portable neuroimaging technology, physicians may soon be able to tease out images of patients’ brains—right there in the doctor’s office—to see how much pain each patient is suffering.
Radiology is the medical specialty most conducive to clinical AI applications. After all, the pre-AI technique of computer-aided detection has been used in mammography since 1998, for example. So it shouldn’t come as a surprise to find AI “app stores” rising in radiology.