AN INNOVATIVE MACHINE LEARNING-BASED ALGORITHM FOR DIAGNOSING PEDIATRIC OVARIAN TORSION.

Journal: Journal of pediatric surgery
Published Date: Jun 16, 2025

Abstract

AIM: We aimed to develop a machine-learning(ML) algorithm consisting of physical examination, sonographic findings, and laboratory markers.

Authors

  • Asya Eylem Boztas
    Health Sciences University, Dr. Behcet Uz Pediatric Diseases and Surgery Training and Research Hospital, Department of Pediatric Surgery, Izmir Turkey. Electronic address: asyaeylem@gmail.com.
  • Efe Sencan
    Boston University, College of Engineering, Electrical and Computer Engineering Department, Boston, MA USA; 8 St Mary's St 324, Boston, MA 02215, USA. Electronic address: esencan@bu.edu.
  • Ayse Demet Payza
    Health Sciences University, Dr. Behcet Uz Pediatric Diseases and Surgery Training and Research Hospital, Department of Pediatric Surgery, Izmir Turkey; Ali Fuat Cebesoy mh. 9519 sk no:20 Granada Besli bloklar, C blok Kapı no:1 Karabaglar, Izmir Turkey. Electronic address: demetpayza@gmail.com.
  • Arzu Sencan
    Health Sciences University, Izmir Faculty of Medicine, Dr. Behcet Uz Pediatric Diseases and Surgery Training and Research Hospital, Department of Pediatric Surgery, Izmir Turkey; Ismet kaptan mh. Sezer doğan sk. Dr. Behcet Uz Cocuk Hastalıkları ve Cerrahisi Hastanesi, Konak, Izmir Turkey. Electronic address: arzusencan71@yahoo.com.tr.

Keywords

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