Speaker:
Yonghui Wu
Abstract:
Recent progress in Artificial Intelligence (AI) has enabled a new "general" form of AI to transform the practice of medicine and healthcare. AI models based on large language models (LLMs) have good abilities in communicating with humans and generating textual content such as emails, articles, and even computer source codes, which is not observed in previous generations of AI, approaching human-level language processing. This talk focuses on the recent progress of developing AI in the medical domain as an important infrastructure to facilitate medical research, enhance clinical data warehouse, and advance intelligent medicine and healthcare.
Bio:
Dr. Wu is an Associate Professor with Tenure in the Department of Health Outcomes and Biomedical Informatics at the University of Florida (UF) College of Medicine. He also serves as the Director of Natural Language Processing (NLP) at UF Clinical and Translational Science Institute (CTSI) and OneFlorida+ Clinical Research Consortium. Dr. Wu's primary research interests include clinical NLP, machine learning, and Electronic Health Record (EHR) based drug repurposing. He has worked on various challenging AI topics such as large language models, patient information extraction, NLP-powered computable phenotyping, and disease predictive modeling. He has published over 90 peer-reviewed research papers with over 6,000 citations. His work was supported by funding from the National Institutes of Health (NIH), the Patient-Centered Outcomes Research Institute (PCORI), and the Advanced Research Projects Agency for Health (ARPA-H).