FROM AI TO CLINICAL REASONING
The Pearls and Perils of Large Language Models on Medical Education
As we all know, AI is rapidly changing the healthcare industry, and medical education is no exception. On one hand, AI has the potential to greatly enhance medical education, from improving the accuracy and efficiency of training, to providing personalized learning experiences for students. However, on the other hand, there are also challenges that must be addressed to ensure that medical education remains relevant and effective in a world increasingly dominated by AI.
Carl J. Shapiro Institute for Education & Research at BIDMC and HMS,
MIT Critical Data Group, NEJM Group
Raja-Elie Abdulnour, MD
Dr. Abdulnour is co-developer and lead editor of NEJM Healer and Director of Educational Innovation at NEJM Group. He also serves as Assistant Professor of Medicine at Harvard Medical School and faculty member in Pulmonary & Critical Care Medicine at Brigham and Women’s Hospital.
Marktus Atanga, MS
Marktus Atanga is the current lead machine learning engineer at BigBear.AI. He earned B.S Chemical Engineering from Kwame Nkrumah University of Science and Technology Ghana, M.S Chemical Engineering from Missouri University of Science and Technology, M.S Data Science from Johns Hopkins University. He will discuss the role of AI in industry and the potential impact on future civilization.
Leo Celi, MD, MPH, MSc
Dr. Celi has practiced medicine in three continents, giving him broad perspectives in healthcare delivery. As clinical research director and principal research scientist at the MIT Laboratory of Computational Physiology (LCP), he brings together clinicians and data scientists to support research using data routinely collected in the intensive care unit (ICU). His group built and maintains the Medical Information Mart for Intensive Care (MIMIC) database. This public-access database has been meticulously de-identified and is freely shared online with the research community. It is an unparalleled research resource; over 2000 investigators from more than 30 countries have free access to the clinical data under a data use agreement. In 2016, LCP partnered with Philips eICU Research Institute to host the eICU database with more than 2 million ICU patients admitted across the United States. The goal is to scale the database globally and build an international collaborative research community around health data analytics.
Dr. Celi founded and co-directs Sana, a cross-disciplinary organization based at the Institute for Medical Engineering and Science at MIT, whose objective is to leverage information technology to improve health outcomes in low- and middle-income countries. At its core is an open-source mobile tele-health platform that allows for capture, transmission and archiving of complex medical data (e.g. images, videos, physiologic signals such as ECG, EEG and oto-acoustic emission responses), in addition to patient demographic and clinical information.
David Furfaro, MD
Dr. Furfaro is interested clinically in critical care, specifically extracorporeal membrane oxygenation for advanced lung disease and acute respiratory failure. I am also interested in pulmonary vascular disease. Outside of clinical practice, I am interested in clinical reasoning, and digital media platforms for medical education.
Marzyeh Ghassemi, PhD, MSc
Dr. Marzyeh Ghassemi is an Assistant Professor at MIT in Electrical Engineering and Computer Science (EECS) and Institute for Medical Engineering & Science (IMES), and a Vector Institute faculty member holding a Canadian CIFAR AI Chair and Canada Research Chair. She holds MIT affiliations with the Jameel Clinic and CSAIL.
Professor Ghassemi holds a Herman L. F. von Helmholtz Career Development Professorship, and was named a CIFAR Azrieli Global Scholar and one of MIT Tech Review’s 35 Innovators Under 35. Previously, she was a Visiting Researcher with Alphabet’s Verily and an Assistant Professor at University of Toronto. Prior to her PhD in Computer Science at MIT, she received an MSc. degree in biomedical engineering from Oxford University as a Marshall Scholar, and B.S. degrees in computer science and electrical engineering as a Goldwater Scholar at New Mexico State University.
Professor Ghassemi has previously served as a NeurIPS Workshop Co-Chair and General Chair for the ACM Conference on Health, Inference and Learning (CHIL). She also founded the non-profit Association for Health Learning and Inference. Professor Ghassemi has published across computer science and clinical venues, including NeurIPS, KDD, AAAI, MLHC, JAMIA, JMIR, JMLR, AMIA-CRI, Nature Medicine, Nature Translational Psychiatry, and Critical Care. Her work has been featured in popular press such as Fortune, MIT News, NVIDIA, and The Huffington Post.
Judy Wawira Gichoya, MD, MS
Dr. Gichoya is Assistant Professor in the Department of Radiology and Imaging Sciences at Emory University School of Medicine. Dr. Gichoya is a multidisciplinary researcher, trained as both an informatician and an Interventional radiologist.
Dr. Gichoya is a member of the Cancer Prevention and Control Research Program at Winship Cancer Institute. She holds professional memberships with Radiological Society of North America, American College of Radiology, Society of Interventional Radiology, Society of Imaging Informatics in Medicine and American Medical Informatics Association.
Dr. Gichoya earned her Medical Degree from Moi University in Kenya. She completed her medical internship at Kiambu District Hospital. She earned a Masters of Science in Health Informatics from Indiana University Purdue University in Indianapolis, Indiana. In addition, she completed post-doctoral training in informatics at Regenstrief Institute in Indianapolis, Indiana, and a residency in diagnostic radiology at Indiana University. Prior to arriving at Emory, she completed a fellowship in interventional radiology at Oregon Health Sciences University in Portland, Oregon.
Drawing upon extensive experience with open source communities and contextual knowledge in Africa, Dr. Gichoya hopes to leverage her skills to build capacity for data science in Africa. Dr. Gichoya’s research interests include studying clinical disparities for minimally invasive procedures, validating machine learning models for health in real clinical settings, exploring explainability, fairness, and a specific focus on how algorithms fail. She has worked on the curation of datasets for the SIIM (Society for Imaging Informatics in Medicine) hackathon and ML committee. She volunteers on the ACR and RSNA machine learning committees to support the AI ecosystem to advance development and use of AI in medicine.
Margaret “Molly” Hayes, MD
Dr. Hayes is an Assistant Professor in Medicine at Harvard Medical School. She is the director of the Medical Intensive Care Unit at Beth Israel Deaconess Medical Center. She is also interested in international education as the Director for External Education at the Carl J. Shapiro Institute for Education and Research and has travelled extensively teaching medical education.
Cullen Jackson, PhD
Dr. Jackson is an Instructor in Anaesthesia at Harvard Medical School and the Director of Research Innovations at the Carl J. Shapiro Simulation and Skills Center at Beth Israel Deaconess Medical Center.
Ria Roberts, MD
Dr. Roberts is an Instructor in Medicine at Harvard Medical School and the Director of GME Diversity, Inclusion, and Advocacy at Beth Israel Deaconess Medical Center.
Richard Schwartzstein, MD
Dr. Richard Schwartzstein, the Ellen and Melvin Gordon Distinguished Professor of Medicine and Medical Education at Harvard Medical School (HMS), is Chief of the Division of Pulmonary and Critical Care Medicine at Beth Israel Deaconess Medical Center (BIDMC). A graduate of HMS, Dr. Schwartzstein has been an active clinical educator and researcher since he came to the HMS faculty over 30 years ago. A graduate of the Rabkin Fellowship in Medical Education he became director of the Shapiro Institute for Education and Research at HMS and BIDMC in 2004 and served as Director of the HMS Academy from 2009-2017. His textbook, “Respiratory Physiology: A Clinical Approach,” received a national award for its interactive style. Recipient of multiple HMS and national teaching awards, including the Robert J. Glaser award of the AAMC, Dr. Schwartzstein chaired the Steering Committee that developed the Pathways curriculum, served as course director for Homeostasis 1, served as Director of Education Scholarship and now serves as Chair of the Learning Environment Steering Committee. His education research focuses on the development of pedagogical approaches to enhance analytical reasoning, techniques to maximize the benefits of small group teaching and assessment of the role of simulation in medical education.