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Practical Applications of Artificial Intelligence Chatbots in Obstetrics and Gynecology Medical Education
Christopher M Morosky1, Laura Baecher-Lind, Katherine T Chen
1University of Connecticut School of Medicine, Farmington, CT (C.M.M.); Tufts University School of Medicine, Boston, MA (L.B.-L.); Icahn School of Medicine at Mount Sinai, New York, NY (K.T.C.); Michigan State University, College of Osteopathic Medicine, East Lansing, MI (A.F.); University of Florida College of Medicine, Gainesville, FL (S.M.S.); University of Michigan, Ann Arbor, MI (H.K.M.); Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA (C.S.R.); Washington University School of Medicine, St. Louis, MO (T.S.); University of Washington School of Medicine, Seattle, WA (A.S.-F.); Brody School of Medicine, East Carolina University, Greenville, NC (J.S.); The Ohio State University College of Medicine, Columbus, OH (J.S.); and College of Medicine, University of Saskatchewan, Saskatoon, Saskatchewan, Canada (R.B.).
Abstract:
(Abstracted from Am J Obstet Gynecol 2025;233(1):4-11) Artificial intelligence (AI) chatbots are rising in popularity as new developments increase their abilities and accuracy; their function includes using large language models to generate responses based on history. The use of AI in clinical practice and medical education includes radiology imaging assessment, clinical decision support tools for diagnosis and treatment recommendations, and the potential for the enhancement of teaching, learning, and assessment in medical education.
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