利用人工智能方法改善尿路感染和尿路结石疾病的诊断
Theodor Florin Pantilimonescu1, Costin Damian2, Viorel Dragos Radu3
1Department of Physiology, "Grigore T. Popa" University of Medicine and Pharmacy, 700115 Iasi, Romania.
Journal of clinical medicine
|July 29, 2025
概括
人工智能 (AI) 可以增强对尿路感染 (UTI) 和结石的医疗活动. 人工智能有助于检测细菌,抗生素耐药性和评估尿路结石疾病 (USD).
科学领域:
- 泌尿器科 泌尿器科 泌尿器科 泌尿器科
- 传染性疾病 传染性疾病
- 医疗信息学 医疗信息学
背景情况:
- 尿路感染 (UTI) 和结石是全球普遍存在的健康问题.
- 人工智能 (AI) 在医疗实践中的整合正在迅速扩大.
- 了解人工智能在治疗尿路感染和尿病中的作用,对于未来的医疗保健至关重要.
研究的目的:
- 探索人工智能 (AI) 如何支持和改进尿路感染 (UTI) 和尿病的医疗干预.
- 审查当前在诊断和管理尿路感染和结石的AI应用.
- 评估不同人工智能模型的有效性,包括聊天机器人,在泌尿病学上下文.
主要方法:
- 在PubMed上进行了一项文献搜索,使用与AI,尿路感染,大肠杆菌 (E. coli) 和尿病相关的关键词.
- 根据在尿路感染和石疾病中对AI应用的相关性,对论文进行了选.
- 人工智能应用被分类,并评估聊天机器人的性能.
主要成果:
- 人工智能和机器学习在检测与尿路感染相关的大肠杆菌中的格拉姆阴性细菌和抗生素耐药基因方面表现出速度和准确性.
- 人工智能在尿病中的应用包括手术后的患者随访,石头评估 (组成,尺寸,体积) 和检测.
- 在对尿病任务进行评估的聊天机器人中,ChatGPT-4获得了最有利的评论.
结论:
- 大量的研究表明AI在泌尿病学和尿路感染管理方面的巨大潜力.
- 机器学习准备在不久的将来优化患者护理,诊断和治疗策略.
- 人工智能工具,包括先进的聊天机器人,正在成为推动泌尿器科护理和研究的组成部分.
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