ChatGPT and Large Language Models in Radiology: Perspectives From the Field.

Autor:	Bahl M; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA., Balthazar P; Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA., Davis MA; Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT., Makary MS; Department of Radiology, The Ohio State University Medical Center, Columbus, OH., Tirumani SH; Department of Radiology, UH Cleveland Medical Center, Case Western Reserve University, Cleveland, OH., Whitlow CT; Departments of Radiology, Biomedical Engineering, and Biostatistics and Data Science, Wake Forest University School of Medicine and Atrium Health, Winston-Salem, NC.
Jazyk:	angličtina
Zdroj:	AJR. American journal of roentgenology [AJR Am J Roentgenol] 2024 Oct; Vol. 223 (4), pp. e2432022. Date of Electronic Publication: 2024 Sep 18.
DOI:	10.2214/AJR.24.32022
Abstrakt:	Generative artificial intelligence (AI) and large language models (LLMs) are increasingly being recognized as tools with the potential to transform many industries, including health care. Implementation and use of these tools among radiologists is likely variable, driven by radiology practice and institutional factors. Radiologists from various practices were asked about their perspectives on generative AI and LLMs in radiology.
Databáze:	MEDLINE
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