Join the Hopkins Business of Health Initiative (HBHI) for an engaging conversation on the transformative role of generative AI in healthcare. Two leading experts in the field of AI and health will discuss the existing and potential applications of generative AI in everyday clinical workflows and its broader implications for the future of healthcare. This discussion is intended for healthcare professionals, AI researchers, economists, management scholars, data scientists, students, and anyone interested in integrating AI into healthcare workflows and improving access, outcomes, and equity in healthcare.
The webinar will discuss existing and potential applications of generative AI in everyday clinical workflows and explore the broader implications for the future of healthcare.
Panelists
Chris Callison-Burch, PhD
Associate Professor of Computer and Information Science, University of Pennsylvania
Chris Callison-Burch is an associate professor of Computer and Information Science at the University of Pennsylvania. His course on Artificial Intelligence has one of the highest enrollments at the university with 500 students taking the class each Fall. He is best known for his research into natural language processing and crowdsourcing. His current research is focused on applications of large language models to long-standing challenge problems in artificial intelligence. His PhD students joke that now whenever they ask him anything his first response is “Have you tried GPT for that?”
Prof Callison-Burch has more than 100 publications, which have been cited over 20,000 times. He is a Sloan Research Fellow, and he has received faculty research awards from Google, Microsoft, Amazon, Facebook, and Roblox, in addition to funding from DARPA, IARPA, and the NSF.
Prof Callison-Burch recently testified before congress about the relationship of Generative AI and Copyright law.
Curtis Langlotz, MD, PhD
Professor of Radiology, Medicine, and Biomedical Data Science, Stanford University; Director, Stanford Center for Artificial Intelligence in Medicine and Imaging; Medical Informatics Director, Stanford Health Care
Dr. Curtis Langlotz holds numerous leadership positions at Stanford University, including Professor of Radiology, Medicine, and Biomedical Data Science. As the Director of the Center for Artificial Intelligence in Medicine and Imaging, he supports AI research for health improvement. Dr. Langlotz oversees the computer technology supporting Stanford Radiology's eight-million-strong imaging study library. His lab investigates the use of machine learning technologies in disease detection and diagnostic error elimination. He has led major efforts to improve radiology communication and authored over 150 articles, a book, and several terminologies and standards in the field. Dr. Langlotz, a former president of multiple radiology societies, currently chairs the RSNA Board of Directors. His innovations in health technology have led to the founding of three companies.
Moderators
Tinglong Dai is a Professor of Operations Management & Business Analytics at the Johns Hopkins Carey Business School. He co-chairs the Johns Hopkins Workgroup on AI and Healthcare, part of the Hopkins Business of Health Initiative, and serves on the Executive Committee of the Johns Hopkins Institute for Data Intensive Engineering and Science. He holds joint faculty appointments at the Johns Hopkins School of Nursing and the Center for Digital Health and Artificial Intelligence.
Dr. Dai's research interests span across healthcare analytics, human-AI interaction, and global supply chains. His ongoing work focuses on incorporating AI into clinical workflows and advancing healthcare productivity, access, and equity. His has published extensively in leading journals such as Management Science, M&SOM, Marketing Science, and Operations Research. Dr. Dai is an Associate Editor of Management Science, M&SOM, Health Care Management Science, and Naval Research Logistics, and a Senior Editor of Production and Operations Management. He also co-edited the Handbook of Healthcare Analytics, published by John Wiley & Sons in 2018. Dr. Dai is also a member of the HBHI Leadership Team and a Core Faculty Member.
Dr. Risa Wolf is an Associate Professor of Pediatrics in the Division of Pediatric Endocrinology at the Johns Hopkins University School of Medicine. Her research is focused on using innovative technologies to improve outcomes in pediatric diabetes. As the first investigator to implement artificial intelligence (AI) based diabetic retinopathy screening in the pediatric population, she has led studies on implementation, diagnostic accuracy and cost-effectiveness. In her NEI funded R01 studies, she is conducting multiple clinical trials to determine if autonomous AI based retinopathy screening improves overall screening rates and mitigates disparities in underserved youth with diabetes. She is experienced in implementation and validation studies of diagnostic AI, and has served as a member of the Collaborative Community for Ophthalmic Imaging on foundational principles for AI interpretation. Dr. Wolf is also the PI of trials to improve diabetes device and continuous glucose monitor uptake in youth with type 1 and type 2 diabetes and has led initiatives to improve uptake of diabetes technologies in the clinic setting. Dr. Wolf is also an HBHI Core Faculty Member.
The HBHI Workgroup on AI and Healthcare is intended for healthcare professionals, AI researchers, economists, management scholars, data scientists, students, and anyone interested in integrating AI into healthcare workflows and improving access, outcomes, and equity in healthcare. If you are interested in joining the workgroup listserve, please send a note to [email protected]
Conversations on the Business of Health
Webinar Series
This event is part of a larger series on 'Conversations on the Business of Health,' which will be one-hour webinars that will engage leaders in business and academia. We will explore questions such as:
- Should companies invest in their employees’ health?
- Are companies responsible for the health consequences of their products?
- Will artificial intelligence actually advance health?
- How can business offer healthcare in novel settings?
Moderated by faculty members and jointly hosted by the Bloomberg School of Public Health, the Carey Business School, the School of Nursing, and the School of Medicine, the series is open to all. Indeed, we invite you to spread the word as we seek participants both inside and outside of Johns Hopkins, including the business world.
Seminars will be on a Friday from noon to 1 p.m. unless otherwise noted.