Jean Jeudy, MD, Professor of Diagnostic Radiology and Nuclear Medicine and Radiology Vice Chair of Informatics at UMSOM was a co-author on the study. Researchers from the Massachusetts General Hospital and the Johns Hopkins University School of Medicine also participated in this study. The study was funded by the individual institutions.
"We've seen in our experience that ChatGPT sometimes makes up fake journal articles or health consortiums to support its claims," said Dr. Yi. "Consumers should be aware that these are new, unproven technologies, and should still rely on their doctor, rather than ChatGPT, for advice."

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He and his colleagues are now analyzing how ChatGPT fares for lung cancer screening recommendations and identifying ways to improve the recommendations made by ChatGPT to be more accurate and complete - as well as understandable to those without a high level of education.
"We are witnessing an unprecedented revolution in health care where the integration of artificial intelligence and immersive technologies will fundamentally change the way we treat patients," said Mark T. Gladwin, MD, Dean, University of Maryland School of Medicine, Vice President for Medical Affairs, University of Maryland, Baltimore, and the John Z. and Akiko K. Bowers Distinguished Professor. "ChatGPT and other language models are an exciting part of this transformation - providing access to a vast database of medical knowledge and potentially offering personalized advice based on specific symptoms and a patient's medical history, albeit with certain limitations, as this study points out."
The University of Maryland School of Medicine recently launched plans for a new Institute for Health Computing that will leverage recent advances in artificial intelligence and computing to create a premier learning health care system that evaluates both de-identified and secure digitized medical health data to diagnose, prevent and treat diseases in patients.
"Academic medicine has a unique opportunity to lead this new era of medicine, with medical schools on the front lines of biomedical research, access to 'big data,' clinical care, and education," said Dean Gladwin. "Our vision is for this to become the 'East Coast Silicon Valley' for health computing -- embracing and harnessing the power of clinical analytics and precision medicine to enhance patient care and provide population health services."