Scholarlink

Problem <p>The use of artificial intelligence (AI) in prenatal ultrasound diagnostics promises significant improvements in accuracy and efficiency. At the same time, it reshapes the decision-making architecture of pregnancy care, where not only the pregnant woman but also the unborn child appears as a&#xa0;moral agent.</p> Arguments <p>This article examines the ethical implications of AI integration across the three standardized ultrasound examinations stipulated in maternity care. Through a&#xa0;combination of technical framing, ethical analysis, and narrative scenarios, both the potentials and risks are systematically explored. Key ethical concerns include reproductive autonomy, the right not to know, and normative shifts driven by technological feasibility—such as the transition from preventive care to selection. The use of AI is not normatively neutral: it may reinforce societal expectations of normality, health, and the avoidance of disability, thereby reshaping both medical and parental responsibilities.</p> Conclusion <p>An ethically sound integration of AI requires clear conditions: transparency of algorithmic decision-making processes, clearly defined goals for implementation, ongoing quality control of training data, and a&#xa0;deliberate distinction between medical care and broad-based screening. In this way, AI can contribute to diagnostic improvement without itself becoming a&#xa0;norm-setting actor in a&#xa0;sensitive field of medical decision-making.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Ethische Herausforderungen beim Einsatz von KI in der pränatalen Ultraschalldiagnostik

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年2月24日

查看全文
  • Otha Maria Heuser-Stein

摘要

Problem

The use of artificial intelligence (AI) in prenatal ultrasound diagnostics promises significant improvements in accuracy and efficiency. At the same time, it reshapes the decision-making architecture of pregnancy care, where not only the pregnant woman but also the unborn child appears as a moral agent.

Arguments

This article examines the ethical implications of AI integration across the three standardized ultrasound examinations stipulated in maternity care. Through a combination of technical framing, ethical analysis, and narrative scenarios, both the potentials and risks are systematically explored. Key ethical concerns include reproductive autonomy, the right not to know, and normative shifts driven by technological feasibility—such as the transition from preventive care to selection. The use of AI is not normatively neutral: it may reinforce societal expectations of normality, health, and the avoidance of disability, thereby reshaping both medical and parental responsibilities.

Conclusion

An ethically sound integration of AI requires clear conditions: transparency of algorithmic decision-making processes, clearly defined goals for implementation, ongoing quality control of training data, and a deliberate distinction between medical care and broad-based screening. In this way, AI can contribute to diagnostic improvement without itself becoming a norm-setting actor in a sensitive field of medical decision-making.