Scholarlink

<p>Over the past approximately 15&#xa0;years, pathology has undergone a&#xa0;significant transformation, accompanied by increasing mechanization, technological advancement, and digitization within the field. Molecular pathology plays a&#xa0;significant role in this context and is, particularly in the processing of next-generation sequencing data, “digital by design,” allowing for the direct application of artificial intelligence (AI) methods throughout the entire process chain. This paper provides an overview of application areas and critically evaluates them.</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

Künstliche Intelligenz in der Molekularpathologie

  • 期刊论文

  • 发表日期：

    2026年6月2日

查看全文
  • Daniel Kazdal,
  • Jan Budczies,
  • Michael Menzel,
  • Christian Altbürger,
  • Andy Kahles,
  • Iordanis Ourailidis,
  • Martin Brinkmöller,
  • Peter Schirmacher,
  • Albrecht Stenzinger

摘要

Over the past approximately 15 years, pathology has undergone a significant transformation, accompanied by increasing mechanization, technological advancement, and digitization within the field. Molecular pathology plays a significant role in this context and is, particularly in the processing of next-generation sequencing data, “digital by design,” allowing for the direct application of artificial intelligence (AI) methods throughout the entire process chain. This paper provides an overview of application areas and critically evaluates them.