人工智能在泌尿瘤学中的应用:当前的见解和挑战
Rossella Cicchetti1, Daniele Amparore2, Flavia Tamborino1
1Department of Medical, Oral and Biotechnological Sciences, G. d'Annunzio University, Urology Unit, Chieti, Italy.
Research and reports in urology
|August 27, 2025
概括
人工智能为泌尿瘤学提供先进的工具, 改善前列腺,膀和脏等癌症的诊断和手术规划. 数据和验证方面的挑战阻碍了人工智能在生殖尿道癌症治疗中的广泛应用.
科学领域:
- 尿道瘤学
- 人工智能
- 医疗技术
背景情况:
- 人工智能正在迅速改变泌尿瘤学.
- 机器学习 (ML) 和深度学习 (DL) 在提高诊断和临床决策方面具有前景.
- 应用范围涵盖各种生殖尿道癌症,包括前列腺,膀和瘤.
研究的目的:
- 审查尿道瘤学中人工智能的当前发展.
- 突出人工智能技术带来的临床机遇.
- 确定阻碍人工智能在实践中的未解决挑战.
主要方法:
- 人工智能在泌尿瘤学中的应用.
- 检查人工智能在诊断精度,风险分层和外科工作流程中的作用.
- 在机器人手术和医学写作中对人工智能整合的分析.
主要成果:
- 人工智能在成像解释,瘤分类和生殖尿道癌症的手术规划方面表现出潜力.
- 前列腺癌研究引领人工智能应用, 人们对膀和瘤越来越感兴趣.
- 人工智能整合正在扩展到丸和阴茎癌以及机器人手术.
结论:
- 人工智能为推进泌尿瘤治疗提供了重要机会.
- 数据异质性,缺乏验证以及道德问题阻碍了广泛采用.
- 进一步的研究和验证对于将人工智能的潜力转化为临床实践至关重要.
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