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Updated: Jun 14, 2025

Construction of an Improved Multi-Tetrode Hyperdrive for Large-Scale Neural Recording in Behaving Rats
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在生成性人工智能时代的网络安全.

Zhen Ling Teo1, Chrystie Wan Ning Quek2, Joy Le Yi Wong2

  • 1Singapore National Eye Centre, Singapore Eye Research Institute, Singapore.

Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
|August 29, 2024
PubMed
概括

生成型人工智能 (GenAI) 提供了变革性的医疗保健应用,但会带来网络安全风险,例如数据隐私问题和偏见. 这篇评论探讨了GenAI的研究.

关键词:
聊天GPT 聊天GPT 聊天网络安全 网络安全生成型的人工智能大型语言模型.隐私风险隐私风险 隐私风险 隐私风险

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科学领域:

  • 医疗保健人工智能的人工智能
  • 人工智能中的网络安全
  • 生成型的人工智能

背景情况:

  • 生成型人工智能 (GenAI) 代表了一项重要的技术进步,能够产生新的内容.
  • 它跨行业的快速整合凸显了它在改变包括医疗保健在内的各种行业的潜力.
  • 了解GenAI的能力和相关风险对于其有效采用至关重要.

研究的目的:

  • 探索GenAI在医疗保健中的多样化应用,包括临床,操作和研究领域.
  • 识别和分析与GenAI技术相关的固有网络安全风险.
  • 提出减轻这些风险的策略,并利用GenAI加强网络安全.

主要方法:

  • 对医疗保健中的生成人工智能应用的文献综述.
  • 对GenAI特定的网络安全漏洞的分析,包括数据隐私,中毒,偏见和幻觉.
  • 探索风险缓解框架和GenAI在网络安全中的双重使用.

主要成果:

  • 基因人工智能在医疗保健领域提供了许多机会,从诊断到药物发现.
  • 确定了重要的网络安全风险,包括数据泄露,模型操纵和生成不准确信息 (幻觉).
  • 有效的风险管理策略对于安全的GenAI实施至关重要.

结论:

  • 基因人工智能是一种关键技术,有可能重塑医疗保健提供和研究.
  • 积极应对网络安全挑战对于安全地利用GenAI的全部好处至关重要.
  • 对安全的GenAI开发和部署进行进一步研究是有必要的.