| Title | : | Transforming Clinical NLP with Large Language Models: Bridging Innovation and Security in Healthcare AI |
| Speaker | : | Dr. Avisha Das (Research Fellow, Mayo Clinic) |
| Details | : | Mon, 24 Feb, 2025 11:00 AM @ Online talk |
| Abstract: | : | Large Language Models (LLMs) have fundamentally revolutionized biomedical research through advanced Artificial Intelligence (AI)-driven technologies. While these models demonstrate unprecedented capabilities in clinical natural language processing (NLP) tasks, their rapid evolution has significantly outpaced the development of essential security measures, exposing vulnerabilities in LLM-driven healthcare applications.
This talk will focus on my work addressing the two-pronged challenges of clinical AI: efficient domain-specific knowledge mining and secure privacy preserving modeling. First, I will present my research on development of novel LLM-driven clinical pipelines and their impact on domains like biomedical literature mining, mental health support, etc. Following this, I will steer the talk towards how the increasing integration of LLMs in clinical NLP has exposed serious privacy concerns, particularly regarding data leakage and targeted attacks in healthcare data modeling. Through this interdisciplinary research, I hope to demonstrate the transformative potential of LLMs in clinical NLP, while emphasizing the critical importance of understanding and addressing their vulnerabilities.
Speaker Bio: Avisha Das is a Senior Research Fellow with the Arizona Advanced AI & Innovation (A3I) Hub, Mayo Clinic, AZ. Avisha has previously worked as a Postdoctoral Fellow at the University of Texas Health Science Center (UTHealth) - Houston under Dr. Hua Xu and Dr. W. Jim Zheng. She received her Ph.D. in Computer Science from University of Houston under the guidance of Dr. Rakesh Verma. Her research interests largely span across the three domains of security analytics, natural language processing (NLP), and health care informatics, representing a unique interdisciplinary combination. Her work has been published in journals like IEEE Surveys and Tutorials, Nature npj Digital Medicine, IEEE Access, and Scientometrics; along with presentations at top-tier clinical conferences like AMIA Annual Symposium, MedInfo, International Conference on Intelligent Biology and Medicine (ICIBM), Language Resources and Evaluation (LREC), etc. She was also awarded the Postdoctoral training grant by the Cancer Prevention and Research Institute of Texas (CPRIT) for her work on a cancer-focused biomedical knowledge retrieval agent at UTHealth Houston. She has also collaborated actively with researchers and healthcare professionals from Houston's Harris County Psychiatric Center, Yale School of Medicine, Stanford School of Medicine, and Mayo Clinic Alix School of Medicine. Meet Link : https://meet.google.com/iws-rfro-kqu |
