医学
工作流程
数字化病理学
癌症
数字图像分析
胃癌
人工智能
计算机科学
病理
内科学
计算机视觉
数据库
作者
Mustafa Yousif,Liron Pantanowitz
标识
DOI:10.1016/j.path.2023.05.005
摘要
The integration of digital pathology and artificial intelligence (AI) is revolutionizing pathology by providing pathologists with new tools to improve workflow, enhance diagnostic accuracy, and undertake novel discovery. The capability of AI to recognize patterns and features in digital images beyond human perception is particularly valuable, thereby providing additional information for prognostic and predictive purposes. AI-based tools diagnose gastric carcinoma in digital images, detect gastric carcinoma metastases in lymph nodes, automate Ki-67 scoring in gastric neuroendocrine tumors, and quantify tumor-infiltrating lymphocytes. This article provides an overview of all of these applications of AI pertaining to gastric cancer.
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