AI-Augmented Advances in the Diagnostic Approaches to Endometrial Cancer.

Journal: Cancers
Published Date: May 28, 2025

Abstract

BACKGROUND: Endometrial cancer (EC) is the most common gynecological malignancy in developed countries, with diagnostic accuracy and early detection being critical to patient outcomes. Recent advances in artificial intelligence (AI) offer new opportunities to enhance diagnostic precision and clinical decision-making.

Authors

  • Nabiha Midhat Ansari
    Faculty of Medicine, Medical University of Plovdiv, 4002 Plovdiv, Bulgaria.
  • Usman Khalid
    Department of Mathematics, Government College University Faisalabad, Pakistan.
  • Daniel Markov
    Department of General and Clinical Pathology, Medical University of Plovdiv, 4002 Plovdiv, Bulgaria.
  • Kristian Bechev
    Department of General and Clinical Pathology, Medical University of Plovdiv, 4002 Plovdiv, Bulgaria.
  • Vladimir Aleksiev
    Department of Thoracic Surgery, UMHAT "Kaspela", 4002 Plovdiv, Bulgaria.
  • Galabin Markov
    Faculty of Medicine, Medical University of Plovdiv, 4002 Plovdiv, Bulgaria.
  • Elena Poryazova
    Department of General and Clinical Pathology, Medical University of Plovdiv, 4002 Plovdiv, Bulgaria.

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