AMIA 2024 Annual Symposium Panel onResearch Trends in Generative AI for Healthcare:a report from the JAMIA Special Issue on ChatGPT and Large Language Models (LLMs) |
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Location: Continental Ballroom 5 - Hilton Union Square, San Francisco, CA, USA Time: 3:30-5:00 pm PST, November 11, 2024 |
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The panel explores the transformative impact of Large Language Models (LLMs) like ChatGPT in biomedicine and health informatics, reflecting on the rapid advancements and broad applications of generative AI. The panel will start with an explanation of the rationale behind developing a special issue in JAMIA focused on LLMs and its peer- review process. This will be followed by a structured overview of those accepted papers, as well as aggregated statistics of all submissions. By focusing on innovative methodologies, challenges, and opportunities for future integration into healthcare systems, the panel aims to provide a comprehensive and timely overview of the current landscape and trends in LLM research within biomedicine. Through interactive dialogue with the attendees, the session seeks to illuminate ways to advance healthcare through the responsible application of LLMs, addressing educational needs, evaluation methods, and the integration of domain knowledge to refine these powerful tools.
3:30-3:50pm. JAMIA and its policy on LLMs usage and research (Suzanne Bakken)
3:50-4:10pm. Current Progress and Insights of the JAMIA Special Issue (Zhiyong Lu)
4:10-4:30pm. Risks and Opportunities of Applying LLMs in Clinical Care Support (Trevor A. Cohen)
4:30-4:45pm. Evaluating the Impact and Efficacy of LLMs in Healthcare Settings (Yifan Peng)
4:45-5:00pm. Panel discussion
Zhiyong Lu, Ph.D., FACMI, is a tenured Senior Investigator of the NIH Intramural Research Program, leading research in biomedical text and image processing, information retrieval, and AI/machine learning. In his role as Deputy Director for Literature Search at the National Center of Biotechnology Information (NCBI), Dr. Lu oversees the overall R&D efforts to improve literature search and information access in resources like PubMed and LitCovid that are used by millions worldwide daily. Additionally, Dr. Lu holds an Adjunct Professor position with the Department of Computer Science at the University of Illinois Urbana-Champaign (UIUC).
Suzanne Bakken, RN, PhD, FAAN, FACMI, is the Alumni Professor of Nursing and Professor of Biomedical Informatics at Columbia University. Following doctoral study in nursing at the University of California, San Francisco, she completed a National Library of Medicine postdoctoral fellowship in Medical Informatics at Stanford University. The goal of Dr. Bakken’s program of research is to promote health and reduce health disparities in underserved populations through application of innovative informatics methods. A major focus of her current grant portfolio is visualization of healthcare data for community members, patients, clinicians, and community-based organizations. Dr. Bakken was the 2019 recipient of the IMIA François Grémy Award of Excellence, which was awarded at MedInfo. She was the first nurse and 10th recipient of the prestigious honor.
Trevor A. Cohen, MBChB, Ph.D., FACMI is a Professor of Biomedical Informatics and Medical Education and an Adjunct Professor of Psychiatry and Behavioral Sciences at the University of Washington, Seattle. Prior to his research career, he trained and practiced as a physician with a clinical interest in mental health. His research focuses on computational models of language and their biomedical applications, with application areas including literature-based discovery, post-marketing surveillance, plain language summarization, and detection of linguistic indicators of psychiatric and neurological conditions. Dr. Cohen is also an editor of a recent textbook on AI in medicine.
Yifan Peng, PhD, FACMI, is an Associate Professor in the Department of Population Health Sciences at Weill Cornell Medicine. His main research interests include BioNLP and medical image analysis. His main research interests include BioNLP and medical image analysis. He has published in major AI and healthcare informatics venues, including ACL, CVPR, MICCAI, and ICHI, as well as medical venues, including Nature Medicine, Nucleic Acids Research, npj Digital Medicine, and JAMIA. His research has been funded by federal agencies, including NIH and NSF and industries such as Amazon and Google. He received the AMIA New Investigator Award in 2023.
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