[数字泌尿病学:人工智能和数字健康应用的可能用途]
Emily Rinderknecht1, R Alexa2, N Carl3
1Klinik für Urologie, Caritas-Krankenhaus St. Josef, Universität Regensburg, Landshuter Straße 65, 93052, Regensburg, Deutschland. erinderknecht@csj.de.
Urologie (Heidelberg, Germany)
|July 14, 2025
概括
人工智能 (AI) 和大型语言模型 (LLM) 正通过增强数据分析和患者护理来改变数字泌尿病学. 这些技术提供了新的护理模式和效率提升,尽管数据质量和负责任的实施仍然存在挑战.
科学领域:
- 人工智能 (AI) 和大型语言模型 (LLM) 的进展.
- 数字健康应用 (DiGA) 在医疗实践中的整合.
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