Process: submission:02/06/2022 acceptance:08/12/2022 assessment: an innovation for early detection and risk of

HIGHLIGHTS

• who: Artificial intelligence- malignancy- ovarian and collaborators from the Acknowledgments General This research has received support from various sourcesThe authors wish to thank the Department of Obstetrics and Gynecology, Faculty of Medicine, Universitas Padjajaran and Biomedical Engineering, Faculty of Electrical Engineering, Telkom University. Funding Statement This study was supported by institutional grant from Universitas Padjajaran No., UN6.3.1/PT.00/2021. Approval All authors have read and approved the final manuscript Etical Declaration All study participants provided written informed consent prior to engaging in any study-related procedures. This study was approved by Research Ethics Committee . . .
  

   

  

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