[医疗保健中的人工智能:内科医生的生存指南]
Thomas Barba1, Marie Robert1, Arnaud Hot1
1Service de médecine interne, hôpital Édouard-Herriot, 5, place d'Arsonval, 69003 Lyon, France.
概括
医学中的人工智能 (AI) 正在以新的模型快速推进. 本综述涵盖了人工智能概念,数据源和医疗专业人员的伦理考虑.
科学领域:
- 医疗信息学 医疗信息学
- 生物医学数据科学 生物医学数据科学
- 医疗保健中的人工智能
背景情况:
- 人工智能 (AI) 在医学中的整合正在加速,这是由于庞大的生物医学数据和先进的算法.
- 人工智能应用正在扩展到诊断,疾病预测和个性化医疗.
- 像ChatGPT这样的大型语言模型 (LLM) 提供了用户友好的界面,但也引起了对医疗可靠性的担忧.
研究的目的:
- 为医疗AI的基本概念提供全面的概述.
- 区分传统的歧视性和新型的生成性AI模型.
- 讨论人工智能在医疗保健中的实际和伦理影响.
主要方法:
- 关于AI在医学中的当前文献的综述.
- 将人工智能方法分类为歧视性和生成性模型.
- 对医疗人工智能工具的数据来源和潜在开发陷的分析.
主要成果:
- 人工智能提供了各种各样的应用,从诊断到个性化治疗策略.
- 生成型人工智能模型比传统的歧视性方法有了显著的进步.
- 仔细考虑数据源和方法挑战对于AI开发至关重要.
结论:
- 人工智能,包括LLM,为个性化医学带来了变革的潜力.
- 解决可靠性和道德问题对于成功在医疗保健中采用人工智能至关重要.
- 医疗界的积极参与对于负责任地利用AI的好处至关重要.
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