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Exploring the Clinical Translation of Generative Models Like ChatGPT: Promise and Pitfalls in Radiology, From Patients to Population Health. | LitMetric

Exploring the Clinical Translation of Generative Models Like ChatGPT: Promise and Pitfalls in Radiology, From Patients to Population Health.

J Am Coll Radiol

Director, University of Maryland Medical Intelligent Imaging (UM2ii) Center, Baltimore, Maryland; Vice Chair, Society of Imaging Informatics in Medicine Program Planning Committee; Associate Editor, Radiology: Artificial Intelligence. Electronic address: https://twitter.com/PaulYiMD.

Published: September 2023

AI Article Synopsis

Article Abstract

Generative artificial intelligence (AI) tools such as GPT-4, and the chatbot interface ChatGPT, show promise for a variety of applications in radiology and health care. However, like other AI tools, ChatGPT has limitations and potential pitfalls that must be considered before adopting it for teaching, clinical practice, and beyond. We summarize five major emerging use cases for ChatGPT and generative AI in radiology across the levels of increasing data complexity, along with pitfalls associated with each. As the use of AI in health care continues to grow, it is crucial for radiologists (and all physicians) to stay informed and ensure the safe translation of these new technologies.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.jacr.2023.07.007DOI Listing

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