Comparison of Explainable Artificial Intelligence Model and Radiologist Review Performances to Detect Breast Cancer in 752 Patients.

Journal: Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
PMID: 39051752

Abstract

OBJECTIVES: Breast cancer is a type of cancer caused by the uncontrolled growth of cells in the breast tissue. In a few cases, erroneous diagnosis of breast cancer by specialists and unnecessary biopsies can lead to various negative consequences. In some cases, radiologic examinations or clinical findings may raise the suspicion of breast cancer, but subsequent detailed evaluations may not confirm cancer. In addition to causing unnecessary anxiety and stress to patients, such diagnosis can also lead to unnecessary biopsy procedures, which are painful, expensive, and prone to misdiagnosis. Therefore, there is a need for the development of more accurate and reliable methods for breast cancer diagnosis.

Authors

  • Pelin Seher Oztekin
    Department of Radiology, University of Health Sciences, Ankara Training and Research Hospital, Ankara, Turkey.
  • Oguzhan Katar
    Department of Software Engineering, Firat University, Elazig, Turkey.
  • Tulay Omma
    Department of Endocrinology and Metabolism, University of Health Sciences, Ankara Training and Research Hospital, Ankara, Turkey.
  • Serap Erel
    Department of Surgery, University of Health Sciences, Ankara Training and Research Hospital, Ankara, Turkey.
  • Oguzhan Tokur
    Department of Radiology, University of Health Sciences, Ankara Training and Research Hospital, Ankara, Turkey.
  • Derya Avci
    Department of Computer Technology, Firat University, Elazig, Turkey.
  • Murat Aydogan
    Department of Software Engineering, Firat University, Elazig, Turkey.
  • Özal Yildirim
    Computer Engineering Department, Engineering Faculty, Munzur University, Tunceli, Turkey. Electronic address: oyildirim@munzur.edu.tr.
  • Engin Avci
    Firat University, Technology Faculty, Software Engineering, Elazig, Turkey. Electronic address: enginavci@firat.edu.tr.
  • U Rajendra Acharya
    School of Business (Information Systems), Faculty of Business, Education, Law & Arts, University of Southern Queensland, Darling Heights, Australia.

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