在病中基于人工智能的病理学:进展和应用
Runmin Ding1,2, Zexin Yang3,4, Qiqin Yu1,2
1Department of Urology, The Second Afffliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, Jiangsu, China.
Renal failure
|December 17, 2025
概括
病理学中的人工智能 (AI) 通过定量图像分析进行诊断,彻底改变了病理学. 在数据注释和验证方面仍然存在挑战,但未来的整合有望改善患者护理.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學專業.
- 计算病理学计算病理学
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 正在改变病理病理学的图像分析.
- 基于人工智能的病理学能够实现高通量,机器可读的数据集,用于定量分析和精确诊断.
研究的目的:
- 探索基于AI的病理学在科的创新应用.
- 确定人工智能在病理学中的当前挑战和未来方向.
主要方法:
- 使用AI算法对病理图像进行定量分析.
- 为特定的病理学任务开发复杂的工具.
主要成果:
- 人工智能工具有助于检测淋巴细胞损伤,评估纤维化,监测移植病理,并预测脏瘤的结果.
- 在精确诊断和结果预测方面取得了重大进展.
结论:
- 基于人工智能的病理学提供了对病理学的创新方法.
- 解决数据注释,可解释性和验证等挑战对于临床整合至关重要.
- 专注于多学科整合和协作的未来研究将加强人工智能在科中的作用,以改善患者护理.
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