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Evaluating the Use of ChatGPT to Accurately Simplify Patient-centered Information about Breast Cancer Prevention and

Hana L Haver1, Anuj K Gupta1, Emily B Ambinder1

  • 1From the University of Maryland Medical Intelligent Imaging (UM2ii) Center, Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, 670 W Baltimore St, First Floor, Rm 1172, Baltimore, MD 21201 (H.L.H., A.K.G., J.J., P.H.Y.); The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Md (E.B.A., E.T.O.); Department of Radiology, Division of Breast Imaging, Massachusetts General Hospital, Boston, Mass (M.B.); Malone Center for Engineering in Healthcare, Whiting School of Engineering, Johns Hopkins University, Baltimore, Md (P.H.Y.); and Fischell Department of Bioengineering, A. James Clark School of Engineering, University of Maryland-College Park, College Park, Md (P.H.Y.).

Radiology. Imaging Cancer
|February 2, 2024
PubMed

Keywords:
BreastEducationHealth Policy and PracticeInformaticsMammographyOncologyScreeningTechnology Assessment

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