米勒·费舍尔的规则和数字健康:两世界的最佳
Joao Brainer Andrade1,2,3,4,5, George Nunes Mendes6, Gisele Sampaio Silva1,2,3
1Department of Health Informatics and Neurology, Universidade Federal de São Paulo, São Paulo, Brazil.
Cerebrovascular diseases (Basel, Switzerland)
|May 29, 2024
概括
费舍尔教授的医学原则可以与人工智能 (AI) 和数字健康一起发展. 适应规则将技术与人文价值观相结合,以提高患者护理和临床推理.
科学领域:
- 医学伦理 医学伦理
- 数字健康数字健康
- 临床推理 临床推理
背景情况:
- 费舍尔教授的原则是医学的基础.
- 人工智能 (AI) 和数字健康的兴起促使人们重新评估这些原则.
- 适应费舍尔规则对于现代医学实践至关重要.
研究的目的:
- 提出适应费舍尔教授持久规则的建议.
- 应对数字健康和人工智能带来的挑战和利用机遇.
- 确保临床原则在不断变化的医疗环境中保持相关性.
主要方法:
- 关于医疗伦理和医疗保健中的AI的文献评论.
- 在新技术的背景下分析传统的临床原则.
- 制定适应的指导方针,在床边整合数字工具和人工智能.
主要成果:
- 拟议的调整规则强调了床边礼仪和技术的和融合.
- 倡导合理使用数字设备和人工智能工具来帮助诊断和假设生成.
- 强调对人工智能衍生信息和持续学习进行批判性评估的重要性.
结论:
- 适应的规则促进了平衡的方法,将人工智能的优势与人文价值结合起来.
- 医学的未来在于将技术进步与医学人文融合在一起.
- 保持核心价值观,同时拥抱创新,对于改善患者护理和医疗实践至关重要.
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