This technology is a method that utilizes artificial intelligence for contrast enhancement in the diagnosis of stroke.
Current methods for diagnosing strokes include the use of medical imaging techniques, such as computer tomography (CT) and magnetic resonance imaging (MRI), which may employ contrast agents, like gadolinium-based agents, to enhance image quality. However, these methods are associated with exposures to radiation, gadolinium retention toxicities, and high costs.
This technology is a safer method for stroke diagnosis that employs a deep learning approach, enabling the reduction of contrast agent dosages. Using a deep contrast algorithm, artificial intelligence can predict regions of contrast enhancement with a lower gadolinium dose than is typically used, thereby reducing potential gadolinium retention and associated toxicities. As such, this technology can enhance methods of stroke diagnosis through the use of artificial intelligence.
IR CU25197
Licensing Contact: Jerry Kokoshka
