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<p>As artificial intelligence augments clinical decision-making, its risks to Jewish communities remain underexamined. AI accuracy depends on comprehensive data, yet algorithmic bias can worsen disparities among racial, ethnic, socioeconomic, or disability minority groups. There has been no examination of such biases in relation to Jewish communities. Commonly perceived solely as a religious group, the Jewish people also represent at least three ethnicities (Ashkenazi, Sephardi, and Mizrahi), each with unique risk profiles. In this article, we provide an overview of these subgroups and summarize their shared, distinct clinical susceptibilities based on a narrative review of both scientific and gray literature sources.</p>

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Jewish Ethnic Subgroups and Artificial Intelligence Clinical Decision Support

  • 期刊论文

  • 发表日期：

    2026年3月26日

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  • Nicole Muravsky,
  • Blayne R. Schenk,
  • Rozalina G. McCoy

摘要

As artificial intelligence augments clinical decision-making, its risks to Jewish communities remain underexamined. AI accuracy depends on comprehensive data, yet algorithmic bias can worsen disparities among racial, ethnic, socioeconomic, or disability minority groups. There has been no examination of such biases in relation to Jewish communities. Commonly perceived solely as a religious group, the Jewish people also represent at least three ethnicities (Ashkenazi, Sephardi, and Mizrahi), each with unique risk profiles. In this article, we provide an overview of these subgroups and summarize their shared, distinct clinical susceptibilities based on a narrative review of both scientific and gray literature sources.