Applications of Artificial Intelligence in Diagnosis of Dry Eye Disease: A Systematic Review and Meta-Analysis.

Journal: Cornea
PMID: 38984532

Abstract

PURPOSE: Clinical diagnosis of dry eye disease is based on a subjective Ocular Surface Disease Index questionnaire or various objective tests, however, these diagnostic methods have several limitations.

Authors

  • Zahra Heidari
    Department of Endocrinology and Metabolism, Zahedan University of Medical Sciences, Zahedan, Iran.
  • Hassan Hashemi
    Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Radiology Department, Imam Khomeini Hospital Complex (IKHC), Tehran University of Medical Sciences (TUMS), Tehran, No. 1419733141, Iran.
  • Danial Sotude
    Psychiatry and Behavioral Sciences Research Center, Mazandaran University of Medical Sciences, Sari, Iran.
  • Kiana Ebrahimi-Besheli
    Cellular and Molecular Research Center, Tehran University of Medical Sciences, Tehran, Iran.
  • Mehdi Khabazkhoob
    Department of Medical Surgical Nursing, School of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Mohammad Soleimani
    Eye Research Center, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Iran.
  • Ali R Djalilian
    Department of Ophthalmology and Visual Sciences, University of Illinois at Chicago, Chicago, IL, USA. adjalili@uic.edu.
  • Siamak Yousefi
    Department of Ophthalmology, University of Tennessee Health Science Center, Memphis, Tennessee, United States of America.

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