Performance and limitation of machine learning algorithms for diabetic retinopathy screening and its application in health management: a meta-analysis.

Journal: Biomedical engineering online
PMID: 40087776

Abstract

BACKGROUND: In recent years, artificial intelligence and machine learning algorithms have been used more extensively to diagnose diabetic retinopathy and other diseases. Still, the effectiveness of these methods has not been thoroughly investigated. This study aimed to evaluate the performance and limitations of machine learning and deep learning algorithms in detecting diabetic retinopathy.

Authors

  • Mehrsa Moannaei
    School of Medicine, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
  • Faezeh Jadidian
    School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Tahereh Doustmohammadi
    Department and Faculty of Health Education and Health Promotion, Student Research Committee, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Amir Mohammad Kiapasha
    Student Research Committee, School of Medicine, Shahid Beheshti University of Medical Science, Tehran, Iran.
  • Romina Bayani
    Student Research Committee, School of Medicine, Shahid Beheshti University of Medical Science, Tehran, Iran.
  • Mohammadreza Rahmani
    Student Research Committee, Zanjan University of Medical Sciences, Zanjan, Iran.
  • Mohammad Reza Jahanbazy
    Student Research Committee, Isfahan University of Medical Sciences, Isfahan, Iran.
  • Fereshteh Sohrabivafa
    Health Education and Promotion, Department of Community Medicine, School of Medicine, Dezful University of Medical Sciences, Dezful, Iran.
  • Mahsa Asadi Anar
    Student Research Committee, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Amin Magsudy
    Faculty of Medicine, Islamic Azad University Tabriz Branch, Tabriz, Iran.
  • Seyyed Kiarash Sadat Rafiei
    Student Research Committee, Shahid Beheshti University of Medical Science, Arabi Ave, Daneshjoo Blvd, Velenjak, Tehran, 19839-63113, Iran.
  • Yaser Khakpour
    Faculty of Medicine, Guilan University of Medical Sciences, Rasht, Iran.

Keywords

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