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Detection and Isolation of Cancer in Prostate Biopsies Using Stimulated Raman Histology and Artificial Intelligence
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人工智能在前列腺癌中的应用

Wei Li1, Ruoyu Hu1, Quan Zhang1

  • 1Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China.

Chinese medical journal
|July 9, 2025
PubMed
概括
此摘要是机器生成的。

人工智能 (AI) 和深度学习 (DL) 正在彻底改变前列腺癌 (PCa) 护理. 这些技术增强了早期诊断,个性化治疗和预后预测,提高了患者的生存率.

关键词:
人工智能的人工智能是人工智能.基金会模型 基金会模型图像成像是一种成像.病理学 病理学 病理学前列腺癌是什么意思 前列腺癌是什么意思整个幻灯片图像的图像.

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科学领域:

  • 在瘤学瘤学.
  • 医疗成像医学成像
  • 人工智能的人工智能

背景情况:

  • 前列腺癌 (PCa) 是男性的主要全球恶性瘤.
  • 有效的PCa管理依赖于早期诊断,量身定制的治疗和准确的预后.
  • 人工智能的进步,特别是深度学习 (DL),在PCa护理中提供了巨大的潜力.

研究的目的:

  • 审查人工智能在前列腺癌中的临床应用.
  • 从病理学和成像学的角度来看,强调PCa诊断,治疗和预后的人工智能的最新进展.
  • 讨论AI在临床PCa环境中的当前挑战和未来方向.

主要方法:

  • 对前列腺癌中人工智能应用的最新文献的综述.
  • 专注于深度学习算法和基础模型.
  • 分析AI在病理和成像数据解释中的作用.

主要成果:

  • 人工智能,特别是DL,在协助PCa诊断,治疗和预后方面取得了重大进展.
  • 基金会的模型正在将AI整合转化为临床实践.
  • 在PCa中,AI在病理和成像领域都显示出潜力.

结论:

  • 人工智能对改善前列腺癌患者的治疗结果具有重大前景.
  • 解决当前的挑战是人工智能在PCa中成功临床整合的关键.
  • 这篇评论是人工智能在前列腺癌管理中的未来作用的参考.