人工智能在乳腺癌病理诊断中的应用及研究展望

doi:10.16139/j.1007-9610.2024.05.04

摘要/Abstract

摘要：

乳腺癌是全球女性常见的癌症之一。病理数字切片扫描仪的诞生及深度学习算法的不断迭代推动了人工智能（AI）技术在乳腺癌诊疗领域的创新。本文对当前AI在乳腺癌病理诊断中的研究及应用现状作介绍，并总结该领域遇到的挑战及未来发展方向。

Abstract:

Breast cancer is one of the most common cancers affecting women globally. With the advent of digital pathology slide scanners and the continuous evolution of deep learning algorithms, there has been a significant advancement in the application of artificial intelligence (AI) in the diagnosis and treatment of breast cancer. This article provided an overview of the current research and application status of AI in breast cancer pathological diagnosis, and summarized the challenges encountered as well as future directions in this field.

Key words: Breast cancer, Pathology diagnosis, Artificial intelligence(AI)

中图分类号:

R737.9

笪倩, 阮淼, 费晓春, 王朝夫. 人工智能在乳腺癌病理诊断中的应用及研究展望[J]. 外科理论与实践, 2024, 29(05): 389-395.

DA Qian, RUAN Miao, FEI Xiaochun, WANG Chaofu. Application and research prospects of artificial intelligence in breast cancer pathological diagnosis[J]. Journal of Surgery Concepts & Practice, 2024, 29(05): 389-395.

图/表 3

参考文献 6

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