The explosion of biomedical big data and information over the past decade has created new opportunities for discoveries that can improve the treatment and prevention of human diseases. As a result, the field of medicine is undergoing a paradigm shift driven by AI-powered analytical solutions. This talk will present the use of AI and large language models (LLMs) in recent natural language processing (NLP) research, highlighting their capabilities and limitations in various information-extraction tasks. We will also discuss the use of retrieval-augmented generation to improve standard LLMs in medicine and conclude with a case study on leveraging LLMs to assist and enhance efficiency in patient-to-trial matching.
Presenter
Zhiyong Lu
Senior Investigator, NIH, NLM; Deputy Director for Literature Search, NCBI; Professor of Computer Science (Adjunct), UIUC