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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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Bibliografische gegevens
Hoofdauteurs: Minghuang Chen, Weiya Kong, Bin Li, Zongmei Tian, Cong Yin, Meng Zhang, Haixia Pan, Wenpei Bai
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Frontiers Media S.A. 2023-12-01
Reeks:Frontiers in Oncology
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Online toegang:https://www.frontiersin.org/articles/10.3389/fonc.2023.1325179/full
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