将人工智能纳入医疗保健实践:挑战和未来前景
Natalia V Bidenko1, Nataliia V Stuchynska1, Yurii V Palamarchuk1
1BOGOMOLETS NATIONAL MEDICAL UNIVERSITY, KYIV, UKRAINE.
概括
医疗保健中的人工智能 (AI) 为医生和学生提供了许多好处,但伦理和监管方面的挑战需要仔细考虑,才能成功地融入医疗教育和实践.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能在医学中的应用
- 医疗保健教育 医疗保健教育
背景情况:
- 人工智能 (AI) 越来越多地融入医疗保健环境.
- 人工智能应用为临床实践和医学教育提供了潜在的好处.
- 现有研究强调需要评估人工智能的影响和相关风险.
研究的目的:
- 概述人工智能 (AI) 在医疗保健中的应用的特点.
- 强调特定的AI解决方案及其整合到医疗实践中.
- 评估与医疗保健中的AI相关的伦理和监管风险.
主要方法:
- 科学文献和监管文件的图书语义分析.
- 系统分析以比较和概括医疗保健中的AI实施经验.
- 实证方法包括采访和AI辅助医疗保健计划的建模.
主要成果:
- 生成性人工智能正在快速发展,目前在医疗保健中得到了广泛的应用.
- 人工智能工具可以帮助执业医生,患者和学生进行临床病例检查和学习.
- 将人工智能集成到医疗培训中可以增强对可视化数据库的理解和访问.
结论:
- 人工智能技术对于高等医疗机构培训医疗保健专业人员至关重要.
- 关键的挑战包括道德,监管和系统集成问题.
- 需要进一步的研究来制定明确的建议,以在医疗和教育环境中实施人工智能.
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