The application progress of artificial intelligence in minimally invasive treatment of adenomyosis

doi:10.3877/cma.j.issn.1674-6899.2025.03.009

Abstract

Abstract:

This paper comprehensively reviews the current application status of artificial intelligence (AI) in the entire process of "preoperative diagnosis - treatment decision-making - intraoperative navigation" for the minimally invasive treatment of adenomyosis. It briefly introduces the application prospects of deep learning algorithms combined with elastography in the diagnosis of adenomyosis, as well as the cutting-edge applications of AI in special scenarios such as the obliteration of the Douglas pouch. At the same time, it also points out the challenges faced and puts forward prospects for the further development of interdisciplinary research, the establishment of ethical consensus, and the standardized clinical application.

Key words: Adenomyosis, Artificial intelligence, Deep learning, Machine learning, Minimally invasive procedures

Ting Zhao, Xiaofang Yi. The application progress of artificial intelligence in minimally invasive treatment of adenomyosis[J]. Chinese Journal of Laparoscopic Surgery(Electronic Edition), 2025, 18(03): 172-176.

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URL: https://zhqjwkzz.cma-cmc.com.cn/EN/10.3877/cma.j.issn.1674-6899.2025.03.009

https://zhqjwkzz.cma-cmc.com.cn/EN/Y2025/V18/I03/172

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