A team of researchers from some of the top medical institutions in the world, developed a fully automatic deep learning-based system to detect multiple sclerosis (MS) lesions in the spinal cord and intramedullary from conventional MRI data.
BrainQ is an Israeli-based AI startup that focuses on helping stroke and spinal cord injury patients receive new and innovative treatment, including a deep learning-based system that analyzes a patient’s brain waves and generates a precise treatme
Researchers from The University of Texas MD Anderson Cancer Institute in Houston, Texas developed a deep learning process that automatically identifies the precise size and location of tumors and determines how much radiation should be administere
The method has been described as a “total game changer.” Researchers at the Allen Institute for Cell Science, a Seattle research group founded by Microsoft co-founder Paul Allen, announced this week they developed the first predictive 3D model of
Researchers from the Korea Advanced Institute of Science and Technology (KAIST), a public research university in Daejeon, South Korea, developed a deep learning-based solution that accurately predicts drug interactions with 92% accuracy.
Researchers at the University of Florida developed a deep learning system that analyzes movement and expressions, as well as environmental factors, to better serve hospital patients in the intensive care unit.
This week, Qure.ai, a healthcare AI startup and a member of NVIDIA Inception program, launched a deep learning-based technology to accurately identify bleeds, fractures and other critical abnormalities in head CT scans.
According to the Centers for Disease Control and Prevention, lung cancer is the leading cause of cancer death in the United States, accounting for 27% of deaths. To treat patients with lung cancer, doctors often use radiation therapy.