Chatbot: Empowering Medical Communication using AI

Conventional medical communication has been fundamentally broken, placing an increasing burden on healthcare professionals and significantly contributing to burnout and inefficiency. Physicians, nurses, and administrative staff face overwhelming demands, fragmented workflows, and ineffective communication channels, which detract from patient care. A major breakthrough is imminent with the emergence of intelligent chatbots powered by Large Language Models (LLMs). This talk will highlight several perspectives on how LLM powered chatbots revolutionize healthcare communication: 1) a voice powered chatbot for reminiscence therapy for early dementia patients; 2) a medical research assistant to provide query-focused medical information summary; and 3) a medical transcript assistant to identify care gaps using inductive thematic analysis.

About the speaker

Ying Ding

Ying Ding

Bill & Lewis Suit Professor at School of Information, Dell Medical School, University of Texas at Austin

Dr. Ying Ding is Bill & Lewis Suit Professor at School of Information, University of Texas at Austin. She co-chairs AI in Health Lab at School of Information and Dell Medical School at UT Austin. She has collaborated widely with researchers in healthcare and drug discovery. Together with her colleague at Dell Medical School, the AI Health Lab aims to build human-centered AI approaches to deliver better health. Her lab is actively developing and applying LLM on drug combination synergy prediction, visual question answer for pathology images, medical annotation for social determinants of health, and human-machine reasoning on protein protein interaction. Furthermore, her lab also focuses on developing deep learning method for medical imaging diagnosis , applying Natural Language Processing (NLP) for medical note annotation and summary, utilizing explainable AI and knowledge graph for health risk prediction, and understanding AI fairness in healthcare. She has published 350+ papers, chaired 40+ workshops, and served as a Program Committee member for 280+ international conferences. Her lab is supported by NIH, NSF, and major industry partners.

NLP-Summit

When

Sessions: April 2nd – 3rd 2024
Trainings: April 15th – 19th 2024

Contact

nlpsummit@johnsnowlabs.com

Presented by

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