The National Science Foundation (NSF) awarded a $199,792 Computer and Information Science and Engineering (CISE) program grant to the University of Miami to develop novel methodologies for detecting data shifts in artificial intelligence/machine learning-enabled software as a medical device (AI/ML-SAMD) in medical cyber-physical systems. The project aims to create a framework that allows SAMDs to adapt through real-world learning, enhancing their safety and effectiveness in detecting lung cancer nodules. The innovative data shift detection algorithms developed under this 2-year grant are expected to advance AI/ML-enabled medical cyber-physical systems, improving model accuracy and reliability to address real-world challenges in the adoption of medical AI/ML applications. The grant also includes efforts to promote diversity, equity, and inclusion in STEM fields by providing research opportunities for underrepresented minority groups and female scholars at the FDA.
Generated 6/18/24, 1:54 PM