ARTIFICIAL INTELLIGENCE IN SCREENING AND EARLY DIAGNOSIS OF GLAUCOMA AND DIABETIC RETINOPIA: A SYSTEMATIC REVIEW AND META-ANALYSIS FOR 2020-2025

Authors

  • Atahanov Sanjarbek Anvarovich Author
  • Turobova Faridaxon Rafiqjon qizi Author

Keywords:

To systematically analyze and evaluate the diagnostic accuracy of artificial intelligence (AI) algorithms in detecting glaucoma and DR based on scientific publications from 2020 to 2025.

Abstract

Glaucoma and diabetic retinopathy (DR) remain among the leading causes of blindness worldwide. Early detection of these diseases is crucial for preserving vision; however, traditional screening methods require substantial resources and specialist time.

References

1. Anvarbekovich, A. S. (2025). “GEMOFILIYA” KASALLIGINI ANIQLASH VA DAVOLASHDA ZAMONAVIY KOMPYUTER TEXNOLOGIYALARINING O ‘RNI. EDUCATION AND SCIENCE YESTERDAY AND TODAY, 1(1).

2. Anvarovich, A. S., & Islamiddin, Y. (2025). THE ESSENCE AND FUNCTIONS OF IT AND ARTIFICIAL INTELLIGENCE IN PHARMACEUTICAL PRODUCTION. SHOKH LIBRARY, 1(13).

3. Anvarovich, A. S. (2025). THE ROLE OF MODERN COMPUTER TECHNOLOGIES AND ARTIFICIAL INTELLIGENCE IN THE FIELD OF MEDICAL PREVENTION. SHOKH LIBRARY, 1(13).

4. ANVAROVICH, A., & QIZI, T. (2025). THE ROLE AND IMPORTANCE OF MODERN COMPUTER TECHNOLOGIES IN THE DIAGNOSIS AND TREATMENT OF NEUROLOGICAL DISEASES AMONG ADOLESCENTS. INTERNATIONAL JOURNAL OF MEDICAL SCIENCES, 5(3), 7-11.

5. Atakhanov, S. A., & Burieva, N. A. (2024). Developing Medical Competencies in Students Through the Use of Biological Modeling Technologies in Medical Education. European Journal of Innovation in Nonformal Education, 4(12), 321-323.

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Published

2026-02-28