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

Journal: Frontiers in oncology
Published Date: Dec 8, 2023

Abstract

BACKGROUND: The 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.

Authors

  • Minghuang Chen
    Department of Obstetrics and Gynecology, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
  • Weiya Kong
    Department of Obstetrics and Gynecology, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
  • Bin Li
    Department of Magnetic Resonance Imaging (MRI), Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
  • Zongmei Tian
    Information Center, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
  • Cong Yin
    Department of Obstetrics and Gynecology, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
  • Meng Zhang
    College of Software, Beihang University, Beijing, China.
  • Haixia Pan
    College of Software, Beihang University, Beijing, China.
  • Wenpei Bai
    Department of Obstetrics and Gynecology, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.

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