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相关概念视频

Non-equilibrium in the Cell01:16

Non-equilibrium in the Cell

An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...

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在放射学中安全使用大型语言模型和其他生成AI的最佳实践

Paul H Yi1, Hana L Haver2, Jean J Jeudy3

  • 1Department of Radiology, St. Jude Children's Research Hospital, 262 Danny Thomas Pl, Memphis, TN 38105-3678.

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概括

放射科医生必须采用生成人工智能 (AI) 和大型语言模型 (LLM) 的最佳实践,以确保患者的安全. 通过主动解决监管,数据隐私和偏见问题,可以防止AI陷在放射学工作流程中出现.

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科学领域:

  • 放射学 放射学是一门学科.
  • 医疗信息学 医疗信息学
  • 人工智能的人工智能

背景情况:

  • 生成型人工智能 (AI) 和大型语言模型 (LLM) 越来越多地被整合到放射学中.
  • 与AI在临床环境中的部署相关的潜在风险和陷通常在发布后被确定.
  • 需要采取积极的措施,确保在放射学中安全有效地使用人工智能.

研究的目的:

  • 总结在放射学中安全整合LLM和生成AI的最佳实践.
  • 要突出容易陷入困境的关键领域:监管问题,数据隐私和偏见.
  • 为放射科医生,部门和供应商提供可行的指导方针.

主要方法:

  • 对最好的可用证据的审查.
  • 纳入现场领导者的经验.
  • 专注于人工智能部署的预防措施.

主要成果:

  • 确定了安全人工智能使用的三个关键领域:监管合规,数据隐私和偏见缓解.
  • 强调检查潜在故障模式和确保供应商透明度的重要性.
  • 开发了一个框架,以防止与放射学中生成AI相关的问题.

结论:

  • 积极识别和减轻风险对于在放射学中安全实施人工智能至关重要.
  • 放射科医生,部门和供应商必须合作,建立强大的安全协议.
  • 坚持最佳实践将最大限度地降低患者的风险,并优化AI在临床工作流程中的好处.