Revolutionizing hysteroscopy outcomes: AI-powered uterine myoma diagnosis algorithm shortens operation time and reduces blood loss

Revolutionizing hysteroscopy outcomes: AI-powered uterine myoma diagnosis algorithm shortens operation time and reduces blood loss

BackgroundThe application of artificial intelligence (AI) powered algorithm in clinical decision-making is globally popular among clinicians and medical scientists. In this research endeavor, we harnessed the capabilities of AI to enhance the precision of hysteroscopic myomectomy procedures.MethodsO...

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Bibliographic Details
Main Authors: Minghuang Chen, Weiya Kong, Bin Li, Zongmei Tian, Cong Yin, Meng Zhang, Haixia Pan, Wenpei Bai
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-12-01
Series:Frontiers in Oncology
Subjects:
artificial intelligence (AI)
submucosal myomas
instance segmentation
hysteroscopic myomectomy
magnetic resonance imaging (MRI)
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2023.1325179/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2023.1325179/full

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