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<p>In recent years artificial intelligence (AI) has become significantly more important in various areas of medicine. This update summarizes the latest developments and applications. Key technologies, such as computer vision, natural language processing, machine learning and deep learning enable the analysis of large amounts of data, support diagnostics, treatment planning and prognoses. Current studies demonstrate the growing benefits of AI in the treatment of aortic aneurysms, peripheral arterial occlusive disease and carotid stenosis as well as in new fields of application, such as shunt surgery and chronic venous insufficiency. The use of AI systems improve the accuracy of image analysis and enable personalized risk assessments and predictions of clinical outcomes. Multimodal platforms integrate imaging, clinical and molecular data, while mobile applications provide additional intraoperative support; nevertheless, validating these technologies in independent cohorts remains a&#xa0;key challenge. The European AI Act of 2024 establishes the first binding legal framework for high-risk applications in healthcare and stipulates safety, transparency, explainability and data protection; however, methodological and ethical risks persist, including bias due to insufficient training data, the “black box” effect and unresolved questions of liability. Strategies for minimizing risk include using representative datasets, detecting bias, consistently anonymizing data and implementing human-in-the-loop control. In summary, AI has great potential for diagnostics, treatment and prevention but its implementation must be responsible and interdisciplinary and medical professionals must receive continuous further training.</p>

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Anwendungsfelder der künstlichen Intelligenz in der Gefäßchirurgie – Ein Update

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年12月16日

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  • Benedikt Reutersberg,
  • Christian-Alexander Behrendt,
  • Johannes Hatzl,
  • Oana Bartos,
  • Grischa Hoffmann,
  • Jörg Heckenkamp,
  • Christian Uhl,
  • Bernhard Dorweiler,
  • Benedikt Reutersberg,
  • Christian-Alexander Behrendt,
  • Johannes Hatzl,
  • Oana Bartos,
  • Grischa Hoffmann,
  • Jörg Heckenkamp,
  • Christian Uhl,
  • Bernhard Dorweiler

摘要

In recent years artificial intelligence (AI) has become significantly more important in various areas of medicine. This update summarizes the latest developments and applications. Key technologies, such as computer vision, natural language processing, machine learning and deep learning enable the analysis of large amounts of data, support diagnostics, treatment planning and prognoses. Current studies demonstrate the growing benefits of AI in the treatment of aortic aneurysms, peripheral arterial occlusive disease and carotid stenosis as well as in new fields of application, such as shunt surgery and chronic venous insufficiency. The use of AI systems improve the accuracy of image analysis and enable personalized risk assessments and predictions of clinical outcomes. Multimodal platforms integrate imaging, clinical and molecular data, while mobile applications provide additional intraoperative support; nevertheless, validating these technologies in independent cohorts remains a key challenge. The European AI Act of 2024 establishes the first binding legal framework for high-risk applications in healthcare and stipulates safety, transparency, explainability and data protection; however, methodological and ethical risks persist, including bias due to insufficient training data, the “black box” effect and unresolved questions of liability. Strategies for minimizing risk include using representative datasets, detecting bias, consistently anonymizing data and implementing human-in-the-loop control. In summary, AI has great potential for diagnostics, treatment and prevention but its implementation must be responsible and interdisciplinary and medical professionals must receive continuous further training.