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Background <p>Urology presents itself as a&#xa0;modern and future-oriented discipline. Artificial intelligence (AI) is becoming increasingly important in the field of digital urology. It enables the analysis of large medical data sets, such as histological patterns, imaging or molecular markers. In addition, large language models (LLMs) are opening up new fields of application. Digital health applications (DiGA) are also becoming increasingly important.</p> Objectives <p>This article provides an overview of current developments in digital urology. The focus is on the possible applications of AI and LLMs, taking into account the legal and ethical framework, as well as an overview of the therapeutic landscape of DiGA in urological care.</p> Methods <p>Existing AI models and applications will be presented and analyzed. In addition, DiGA in urological care and current regulatory requirements are discussed.</p> Results <p>AI systems can improve many areas of urology—for example through automated evaluation of image morphology and histology data or voice-based applications in documentation and communication. DiGA support the follow-up care and treatment of urological diseases. Their use requires transparency, data protection, and quality assurance.</p> Conclusion <p>AI&#xa0;and digital applications offer new care models and can help to increase efficiency. Challenges exist in terms of data quality, information technology infrastructure and the safe and responsible use of technologies. Future developments should be interdisciplinary.</p>

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Digitale Urologie

  • 期刊论文

  • 发表日期：

    2025年7月14日

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  • Emily Rinderknecht,
  • R. Alexa,
  • N. Carl,
  • M. Goertz,
  • F. Wessels,
  • H. Borgmann

摘要

Background

Urology presents itself as a modern and future-oriented discipline. Artificial intelligence (AI) is becoming increasingly important in the field of digital urology. It enables the analysis of large medical data sets, such as histological patterns, imaging or molecular markers. In addition, large language models (LLMs) are opening up new fields of application. Digital health applications (DiGA) are also becoming increasingly important.

Objectives

This article provides an overview of current developments in digital urology. The focus is on the possible applications of AI and LLMs, taking into account the legal and ethical framework, as well as an overview of the therapeutic landscape of DiGA in urological care.

Methods

Existing AI models and applications will be presented and analyzed. In addition, DiGA in urological care and current regulatory requirements are discussed.

Results

AI systems can improve many areas of urology—for example through automated evaluation of image morphology and histology data or voice-based applications in documentation and communication. DiGA support the follow-up care and treatment of urological diseases. Their use requires transparency, data protection, and quality assurance.

Conclusion

AI and digital applications offer new care models and can help to increase efficiency. Challenges exist in terms of data quality, information technology infrastructure and the safe and responsible use of technologies. Future developments should be interdisciplinary.