Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same authorSame journal

Future Directions: Artificial Intelligence and Digital Tools in Bladder Cancer Care.

The Urologic clinics of North America·2026
Same author

Large multicenter validation of urine RNA profile for urothelial carcinoma detection and surveillance.

The Journal of clinical investigation·2026
Same author

CystoDS: a multiclass endoscopy image dataset for artificial intelligence-assisted bladder cancer detection.

Scientific data·2026
Same author

Field-effect-informed urine liquid biopsy for bladder cancer.

Cell·2026
Same author

Microbial Product Cocktails for Personalized Cancer Immunotherapy.

Nature communications·2025
Same author

An Organoid Biosensing Platform for Personalized Prognosis of Bladder Cancer.

ACS nano·2025

相关实验视频

Updated: Jul 11, 2025

Culture of Bladder Cancer Organoids as Precision Medicine Tools
08:39

Culture of Bladder Cancer Organoids as Precision Medicine Tools

Published on: December 28, 2021

4.7K

膀癌和人工智能:新兴的应用

Mark A Laurie1, Steve R Zhou2, Md Tauhidul Islam3

  • 1Department of Urology, Stanford University School of Medicine, 453 Quarry Road, Mail Code 5656, Palo Alto, CA 94304, USA; Department of Radiation Oncology, Stanford University School of Medicine, 875 Blake Wilbur Drive Room G204, Stanford, CA 94305-5847, USA; Veterans Affairs Palo Alto Health Care System, Palo Alto, CA 94304, USA; Institute for Computational and Mathematical Engineering, Stanford University School of Engineering, Stanford, CA 94305, USA.

The Urologic clinics of North America
|November 9, 2023
PubMed
概括

人工智能 (AI) 显示出改善膀癌管理的前景,包括早期检测和风险分层. 需要进一步的研究来确认AI.

关键词:
人工智能辅助的诊断人工智能的人工智能是人工智能.膀癌是一种癌症.深度学习是一种深度学习.图像处理 图像处理结果预测结果预测.治疗计划 治疗计划泌尿器科 泌尿器科 泌尿器科 泌尿器科

更多相关视频

Magnetic Resonance Imaging Assessment of Carcinogen-induced Murine Bladder Tumors
05:19

Magnetic Resonance Imaging Assessment of Carcinogen-induced Murine Bladder Tumors

Published on: March 29, 2019

10.4K
Induction of Invasive Transitional Cell Bladder Carcinoma in Immune Intact Human MUC1 Transgenic Mice: A Model for Immunotherapy Development
11:02

Induction of Invasive Transitional Cell Bladder Carcinoma in Immune Intact Human MUC1 Transgenic Mice: A Model for Immunotherapy Development

Published on: October 30, 2013

21.3K

相关实验视频

Last Updated: Jul 11, 2025

Culture of Bladder Cancer Organoids as Precision Medicine Tools
08:39

Culture of Bladder Cancer Organoids as Precision Medicine Tools

Published on: December 28, 2021

4.7K
Magnetic Resonance Imaging Assessment of Carcinogen-induced Murine Bladder Tumors
05:19

Magnetic Resonance Imaging Assessment of Carcinogen-induced Murine Bladder Tumors

Published on: March 29, 2019

10.4K
Induction of Invasive Transitional Cell Bladder Carcinoma in Immune Intact Human MUC1 Transgenic Mice: A Model for Immunotherapy Development
11:02

Induction of Invasive Transitional Cell Bladder Carcinoma in Immune Intact Human MUC1 Transgenic Mice: A Model for Immunotherapy Development

Published on: October 30, 2013

21.3K

科学领域:

  • 泌尿器科 泌尿器科 泌尿器科 泌尿器科
  • 在瘤学瘤学.
  • 医疗信息学 医疗信息学

背景情况:

  • 膀癌由于其共同性和异质性,给患者和医疗保健带来了巨大的负担.
  • 当前的临床方法存在不准确性,导致错过诊断,治疗不充分,疾病进展.
  • 关键的挑战包括需要有效的早期检测,准确的风险分层和管理治疗副作用.

研究的目的:

  • 探索人工智能 (AI) 的潜力,以解决膀癌护理方面的未满足需求.
  • 评估人工智能如何增强早期检测,风险分层,治疗计划,质量评估和结果预测.
  • 审查人工智能在膀癌症管理中的现状,并确定未来研究的领域.

主要方法:

  • 审查关于膀癌管理和人工智能应用的当前文献.
  • 对现有临床范式的局限性进行分析.
  • 在膀癌护理中,确定人工智能可以提供解决方案的特定领域.

主要成果:

  • 人工智能在膀癌管理的多个方面都显示出潜力.
  • 人工智能应用可能会提高早期检测的准确性,并完善患者风险分层.
  • 人工智能工具可以优化治疗计划,提高膀癌患者的预测结果.

结论:

  • 人工智能在彻底改变膀癌的诊断和治疗方面具有重大前景.
  • 人工智能有可能克服当前临床实践的局限性,改善患者的治疗结果.
  • 持续的研究和验证对于将AI有效地整合到膀癌的临床决策中至关重要.