MedyMatch Reveals Artificial Intelligence Deep Vision Intracranial Bleed Detection Technology - insideBIGDATA

MedyMatch Technology Ltd., ("MedyMatch") the deep learning and artificial intelligence company, announced that after several years of extensive research and development, it has achieved a major milestone in the availability, for research, of an artificial intelligence based technology that can help detect the presence of intracranial hemorrhage or brain bleed which can occur in cases of brain trauma and stroke. Subtle bleeds are difficult to detect and if misinterpreted or missed by a physician can lead to serious patient injury and even death. Per the American Heart Association and American Stroke Association (AHA/ASA), stroke is the fourth leading cause of death and one of the top causes of preventable disability in the United States. Affecting 4% of U.S. adults, it is forecasted that by 2030 there will be approximately 3.4 million stroke victims annually in the U.S., costing the healthcare system $240 Billion on an annual basis. It is anticipated that this new technology will come to the marketplace in several forms: a patient specific computer assisted detection ("CAD") tool used by physicians in the emergency room to assist in the detection of intracranial bleeds; a prioritization algorithm operating within a PACS or on a CT to help prioritize cases based on the potential presence of a bleed; and as a tool to provide insights into populations to proactively identify bleed cases. Deployment will be customer driven as either a cloud or on-premises based solution, with near zero foot-print and seamless integration into a hospital enterprise, integrating smoothly into clinical workflow.