[希波克拉底和语言模型 - - 首先,不要伤害]
Sharon Einav1, Or Degany2, Yehuda Shoenfeld3
1Maccabi Healthcare Services Sharon Region, Hebrew University Faculty of Medicine, and Medint Medical Intelligence, Tel Aviv, Israel 2 Faculty of Medicine, Tel Aviv University and Medint Medical Intelligence, Tel Aviv, Israel.
Harefuah
|November 13, 2024
概括
人工智能 (AI) 正在彻底改变医学,影响诊断,治疗和伦理. 了解人工智能原则对于临床医生来说至关重要,以利用好处并防止患者受到伤害,确保道德医疗实践.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 生物伦理学生物伦理学
背景情况:
- "首先,不要伤害"的原则仍然是医学的核心.
- 人工智能 (AI) 的快速发展正在改变医学诊断,治疗,研究,教育和道德.
- 临床医生需要了解人工智能的能力和局限性,以确保患者的安全和道德实践.
研究的目的:
- 将基础医学研究概念与人工智能开发阶段,包括神经网络和深度学习相结合.
- 为大语言模型 (LLM) 的发展和功能提供见解.
- 讨论人工智能对患者与医生的关系的影响,并提出用于在临床实践中道德人工智能整合的可操作策略.
主要方法:
- 审查人工智能开发原则,包括神经网络和深度学习.
- 分析大型语言模型的功能和应用.
- 讨论在医疗保健中整合人工智能的伦理考虑和建议.
主要成果:
- 熟悉人工智能原则使临床医生能够批判性地评估人工智能产生的输出,从诊断支持到治疗计划.
- 生成型人工智能代表了人工智能能力的重大进步.
- 伦理整合需要适当的模式培训,监管和医疗界的积极参与.
结论:
- 了解人工智能对于临床医生来说至关重要,以最大限度地发挥其益处,同时减轻风险.
- 在人工智能采用过程中,保持核心医学伦理 (公益,非恶性,正义,自主) 是至关重要的.
- 涉及医疗专业人员的合作开发和监管将确保人工智能为患者的福祉服务,并维护道德标准.
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