人工智能和大型语言模型在息医学临床实践和教育中的应用
Mark Taubert1, Robyn Hackett2, Simon Tavabie3
1Velindre Cancer Centre, Velindre NHS Trust, Cardiff, UK.
BMJ supportive & palliative care
|October 21, 2024
概括
到2034年,人工智能 (AI) 将对息护理沟通和教学产生重大影响. 预计人工智能驱动的变化,临床医生如何打破坏消息和讨论复杂的护理偏好.
科学领域:
- 数字健康数字健康
- 医学教育 医学教育
- 人工智能的人工智能
背景情况:
- 预计2034年将见证大量的数字技术进步.
- 人工智能 (AI) 是这些预期变化的关键驱动力,尽管预测它的突破仍然具有挑战性.
- 这些进展预计将影响各种领域,特别是息和终身护理,以及高等教育.
研究的目的:
- 探索数字技术,特别是人工智能在2034年之前对息和终身护理的预期影响.
- 检查AI在语言和理解方面的进步如何影响以沟通为中心的职业.
- 预测临床技能的教学在息护理的变化.
主要方法:
- 基于当前技术轨迹的投机分析.
- 对自然语言处理和生成中的AI能力的推断.
- 预测人工智能将融入医学教育和临床实践.
主要成果:
- 突出了AI在语言理解和创造力方面的显著进展.
- 预计临床医生从事息和终身护理将会发生重大变化.
- 对于坏消息和讨论复杂的治疗偏好等技能的教育方法可能会发生变化.
结论:
- 人工智能的进步很可能会在息治疗和终身护理中彻底改变沟通和技能教学.
- 息护理教育领域必须适应整合AI的能力.
- 了解人工智能的作用对于未来的医疗保健专业人员和教育工作者来说至关重要.
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