人工智能聊天机器人的实际应用在产科和妇科医学教育医学教育
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.).
人工智能 (AI) 聊天机器人越来越多地用于医学,用于像图像分析和诊断等任务. 他们的能力正在扩大,影响临床实践和医学教育.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 人工智能的临床应用.
背景情况:
- 人工智能 (AI) 聊天机器人因大型语言模型 (LLM) 的进步而越来越突出.
- 这些人工智能工具基于广泛的数据和用户历史生成响应.
- 人工智能在医疗保健中的整合正在迅速发展.
研究的目的:
- 探索AI聊天机器人在临床实践中的当前和潜在应用.
- 检查人工智能在医学教育中的作用,用于教学,学习和评估.
- 突出在医疗保健环境中人工智能的不断增长的能力和准确性.
主要方法:
- 审查人工智能聊天机器人技术的最新发展,重点是LLMs.
- 分析人工智能在放射学中的应用,诊断和治疗建议.
- 探索人工智能在增强医学教育方法的实用性.
主要成果:
- 人工智能聊天机器人在各种医疗领域的准确性和能力越来越高.
- 应用包括放射学成像评估和临床决策支持.
- 人工智能显示出改善医疗教育和培训的巨大潜力.
结论:
- 人工智能聊天机器人正在成为临床实践和医学教育中宝贵的工具.
- 它们不断扩大的能力需要进一步的研究和道德考虑.
- 人工智能已经准备好改变医疗保健和医疗培训.
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