Medical Device

Medical device research currently centers on improving safety, efficiency, and regulatory oversight. Key areas of focus include leveraging machine learning and large language models (LLMs) to automate vulnerability assessments, predict recall risks, and enhance FDA clearance processes, often employing techniques like natural language processing (NLP) and deep learning object detection. These advancements aim to reduce healthcare costs, improve patient safety, and streamline the development and deployment of medical devices, impacting both regulatory bodies and manufacturers.