Health Care Implications of Large Language Models like ChatGPT – A Panel Discussion
Join our panel of experts for a focused discussion on ChatGPT, a large language model that uses generative AI to mirror intuitive human conversation, and the potential ways it can be implemented in clinical radiology practice.
As a bonus, supplemental resources will be provided to webinar attendees.
Webinar details
Date & time: May 22; 1–2 p.m. CT
Price: Free
Join us to explore the potential of ChatGPT and the applications of large language models (LLMs) in radiology during this one-hour webinar. Our expert panel will lead a focused discussion on ChatGPT, an LLM that uses generative AI to mirror intuitive human conversation, and the potential ways it can be implemented in clinical radiology practice.
Attendees will gain insight into the implications of adopting LLMs in radiology, pros and cons of the technology, practical implementation strategies, the role LLMs can play in patient triage and workflow optimization, and best practices for addressing biases in LLMs.
Learning objectives
After attending this webinar, participants will be able to:
- Provide practical strategies and opportunities to implement LLMs in clinical radiology practice
- Discuss the role of LLMs for patient triage and workflow optimization
- Establish best practices to address health equity and biases in LLMs
Speakers
Linda Moy, MD
NYU Grossman School of Medicine
Moderator
Linda Moy, MD, is a professor of radiology at the NYU Grossman School of Medicine with additional appointments at the NYU Center for Advanced Imaging Innovation and Research and the NYU Vilcek Institute of Graduate Biomedical Sciences. She is director of breast MRI (clinical and research) throughout the NYU Health Network. Dr. Moy has developed robust breast imaging research programs across multiple imaging modalities and has achieved widespread recognition in academic radiology as an accomplished investigator, author and editor. In 2023, she became the editor of Radiology. In addition to her work for Radiology, Dr. Moy has been a manuscript reviewer for 14 other journals.
Tessa Cook, MD, PhD
Perelman School of Medicine at the University of Pennsylvania
Panelist
Tessa Cook, MD, PhD, is an associate professor of radiology at the Perelman School of Medicine at the University of Pennsylvania in Philadelphia. Dr. Cook is also vice chair of practice transformation in the Department of Radiology, the director of the imaging informatics fellowship and modality chief of 3D and advanced imaging.
She is an active member of multiple radiology societies, including RSNA, the American College of Radiology, the Society for Imaging Informatics in Medicine and the Association of University Radiologists. Dr. Cook pursues innovative methods to enhance care delivery in radiology and improve radiologists' workflows.
Jonathan Elias, MD
New York-Presbyterian Hospital – Weill Cornell Medical Center
Panelist
Jonathan Elias, MD, is a board-certified pediatrician whose interests in pediatrics include newborn care, preventative medicine and utilizing the newest technologies to improve the care of children. Dr. Elias is the assistant medical director of information services at Weill Cornell Medical Center, where his duties include focusing on clinical efficiency, care quality, patient safety and workflows as they apply to the electronic medical record. He has a special interest in using new technologies to improve patient care and the doctor-patient relationship.
Keith D. Hentel, MD
New York-Presbyterian Hospital – Weill Cornell Medical Center
Panelist
Keith Hentel, MD, is chief of the division of emergency and musculoskeletal radiology and the executive vice chair in the Department of Radiology at New York-Presbyterian Hospital – Weill Cornell Medical Center. Dr. Hentel is also associate professor of clinical radiology at Weill Cornell Medical College and an associate attending radiologist at the New York-Presbyterian Hospital – Weill Cornell Campus. Dr. Hentel has been an invited speaker nationally and has published numerous articles and book chapters.
Merel Huisman, MD, PhD
Radboud University Medical Center
Nijmegen, Netherlands
Panelist
Merel Huisman, MD, PhD, is an attending cardiovascular and musculoskeletal radiologist at Radboud University Medical Center in Nijmegen, Netherlands.
In the AI health care space, Dr. Huisman is recognized for seeing the bigger picture and having meta-level knowledge about topics such as standardization. Her current research interest is clinical validation of commercially available AI tools and non-interpretive use cases.
Dr. Huisman is passionate about AI and bringing disciplines together. She frequently presents at conferences, where she focuses on translating trends and topics perceived as difficult. Her goal is to improve health care in a sustainable manner.
Dr. Huisman is a Board member of the European Society of Medical Imaging Informatics.
ENTP-A | pro-neurodiversity | @Radboudumc
Felipe C. Kitamura, MD, PhD
Universidade Federal de São Paulo (UNIFESP) and Dasa
Panelist
Felipe C. Kitamura, MD, PhD, is a board-certified neuroradiologist at Universidade Federal de São Paulo and is the director of applied innovation and artificial intelligence at Dasa, Brazil's largest integrated health care network. Dr. Kitamura serves on RSNA’s Artificial Intelligence Committee, Radiology Informatics Council and is an associate editor for Radiology: Artificial Intelligence. Dr. Kitamura’s interests include innovation to improve patient care.
George L. Shih, MD
New York-Presbyterian Hospital – Weill Cornell Medical Center
Panelist
George Shih, MD, is associate professor and vice chair for informatics in the Department of Radiology at Weill Cornell Medical College and is an associate attending radiologist at New York-Presbyterian Hospital – Weill Cornell Campus. Dr. Shih serves on RSNA’s AI and informatics committees. His research interests in medical informatics include machine learning, natural language processing, 3D printing and mobile health.