人工智能和核医学中的劳动力多样性
K Elizabeth Hawk1, Geoffrey M Currie2
1Charles Sturt University, Wagga Wagga, NSW, Australia; Stanford University, Stanford, CA.
Seminars in nuclear medicine
|November 20, 2024
概括
核医学中的人工智能 (AI) 提供了可以增强或阻碍劳动力多样性的工具. 需要仔细评估,以确保人工智能促进女性和代表性不足的少数群体的包容性.
科学领域:
- 核医学就是核医学.
- 人工智能的人工智能
- 医疗成像医学成像
背景情况:
- 人工智能 (AI) 正在改变核医学实践,教育和研究.
- 人工智能的整合对该领域的劳动力多样性产生了重大影响.
- 人工智能工具为多样性和包容性提供了机会和挑战.
研究的目的:
- 探索人工智能对核医学工作人员多样性的双重影响.
- 检查特定的人工智能工具如何促进或阻碍包容性.
- 分析人工智能对影响核医学中代表性不足的少数群体和妇女的潜力.
主要方法:
- 审查核医学当前的人工智能应用.
- 对人工智能对劳动力人口统计学影响的分析.
- 关于影响多样性的AI工具的案例研究.
主要成果:
- 一些人工智能工具可以积极支持多样性,促进女性和代表性不足的少数群体的包容性.
- 其他人工智能技术可能会加剧现有的多样性差距.
- 人工智能对劳动力多样性的净影响取决于工具.
结论:
- 人工智能在核医学中的作用需要一个平衡的方法来利用它的好处,同时减轻对多样性的风险.
- 对人工智能的战略实施对于培养包容性的核医学工作人员至关重要.
- 需要进一步的研究来开发能够积极增强多样性和公平性的AI解决方案.
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