Artificial Intelligence (AI) is revolutionizing healthcare from data analysis to patient care. AI is being used to identify diseases, select patients, personalize treatment, predict outcomes, and more. A growing number of healthcare sectors rely on robotics, biosensors, and medical imaging tools that are powered by AI. The latest advancements in large language models also improve health outcomes by enhancing interactions between care providers and patients and pave the way forward for chatbots or robots embodied with healthcare data.

AI is transforming the way we analyze data. The UM-IHC conducts research in AI and applies it to various datasets, including bio-monitoring wearable, medical, and sensor data.  The research involves exploring and analyzing the data using various learning models to find hidden patterns and relations. This facilitates knowledge discovery that can be used to tackle health-related problems and can eventually lead to better health in the community.

Some potential AI research topics include tools to get medical insights, medical data analysis to identify tumors, injuries, or diseases, outcome predictions from sensor data, personalized prevention, drug discovery driven by big data, etc.