相关实验视频
Updated: Jul 15, 2025

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Robot-Assisted Kidney Transplantation
Published on: July 19, 2021
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人工智能在移植病理学方面取得了进展
Md Arafatur Rahman1,2, Ibrahim Yilmaz1,3, Sam T Albadri1
1Department of Laboratory Medicine and Pathology, Mayo Clinic, Jacksonville, FL 32224, USA.
Bioengineering (Basel, Switzerland)
|September 28, 2023
概括
移植病理学的人工智能 (AI) 有助于监测器官排斥和药物断奶. 人工智能驱动的数字病理学显示了通过增强的诊断来改善移植接受者的结果的希望.
科学领域:
- 移植病理学移植病理学
- 数字病理学数字病理学
- 医学中的人工智能
背景情况:
- 准确的诊断和及时的治疗对于移植接受者的结果至关重要.
- 监测全移植排斥和免疫抑制药物断奶是关键的挑战.
- 人工智能 (AI) 正在成为增强移植评估数字病理学的工具.
研究的目的:
- 系统地审查人工智能在移植病理学的作用和应用.
- 确定用于分析移植器官数字病理幻灯片的AI方法.
- 评估AI在改善诊断准确性和患者治疗结果方面的潜力.
主要方法:
- 电子数据库的系统文献搜索 (2010年1月 - 2023年4月).
- 用于文章选的PRISMA检查清单 (标题,摘要,全文).
- 包括14篇专注于人工智能在心脏,肺,肝脏和移植病理学的文章.
主要成果:
- 几种基于深度学习的AI模型被开发用于分析数字病理幻灯片.
- 在四个主要移植器官中确定了人工智能应用.
- 人工智能模型显示出增强临床决策和减少诊断变异性的潜力.
结论:
- 移植病理学的AI在分析活检样本方面取得了重大进展.
- 人工智能技术有可能大大改善移植结果.
- 预计人工智能工具的进一步开发和验证将推动该领域的未来进展.
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