RSNA Announces Intracranial Hemorrhage AI Challenge

The Radiological Society of North America (RSNA) recently launched its third annual artificial intelligence (AI) challenge: the RSNA Intracranial Hemorrhage Detection and Classification Challenge. The AI Challenge is a competition among researchers to create applications that perform a defined task according to specified performance measures. Last year's pneumonia detection challenge had more than 1,400 teams. "The goal of an AI challenge is to explore and demonstrate the ways AI can benefit radiology and improve clinical diagnostics," said Luciano Prevedello, M.D., MPH, chair of the Machine Learning Steering Subcommittee of the RSNA Radiology Informatics Committee. "By organizing these data challenges, RSNA plays a critical role in demonstrating the capabilities of machine learning and fostering the development of AI in improving patient care."