Skip to content
  • About us
  • For advertising
  • For authors
  • Publishing ethics
  • Contacts
  • GDPR
  • български
Shopping Cart 0
Facebook
GPNews
  • Home
  • IssuesExpand
    • 2025
    • 2024
    • 2023
    • 2022
  • Article summariesExpand
    • AG and Neonatology
    • Allergology
    • Dental Health
    • Cardiology
    • Dermatology and Cosmetics
    • Endocrinology
    • From the Practice
    • Gastroenterology
    • History Teaches
    • In the World of Viruses
    • Nature Teaches
    • Neurology and Psychiatry
    • Nutrition, Dietetics, Metabolism
    • Oncology
    • Ophtalmology
    • Others
    • Otorhinolaryngology and Pulmonary Diseases
    • Pediatrics
    • Rheumatology and Diseases of the Joints
    • Test on a Clinical Case
    • Urology and Nephrology
  • Subscription
Shopping Cart 0
Facebook

  • български

GPNews
Home / Ophtalmology / Early diagnosis of keratoconus – role of artificial intelligence in 2024

Early diagnosis of keratoconus – role of artificial intelligence in 2024

отGP News публикувано на 25.07.2024 Ophtalmology
Ранна диагностика на кератоконус

Issue 6/2024

Mihova, Т., Grupchev, D., Grupcheva, H.
„USBOBAL – Varna“ EOOD; Medical University Varna

Keratoconus is a progressive disorder of the anterior corneal surface and begins at a young age. In the early stages, when there are no clinical signs, diagnosis depends on the interpretation of the results of new technologies (topography, tomography and OCT) by trained specialists. Using artificial intelligence in image analysis allows for different analysis and interpretation, which places the diagnosis at a subclinical stage and has the potential for early diagnosis and timely treatment. Early identification of keratoconus is important not only for a correct therapeutic approach, but is a key screening method before refractive surgery in order to reduce the risk of iatrogenic corneal ectasia.
The present study is based on a meta-analysis of the published literature in order to identify and analyze the capabilities of AI for the early diagnosis of keratoconus. Future integration of large databases and critical clinical judgment will help bring this technology into ophthalmic practice. The full implementation of AI will lead to fundamental changes in clinical ophthalmic diagnosis and treatment, but it will not replace the role of the clinician in evaluating each individual case.

Key words: keratoconus, artificial intelligence, early diagnosis

Аddress for correspondation:
Mihova, T. 
Medical University – Varna
76, “Tsar Osvoboditel”, Str.
9002, Varna 
e-mail: Tsvetelina.Mihova@mu-varna.bg

Post navigation

Previous Previous
Issue 7/2024
NextContinue
Allergic conjunctivitis
Search
корица 12
All issues in 2023

Issue 12/2023

PULMONOLOGY Current guidelines for the diagnosis and treatment of COPD Yordanov, P., Dimitrova, V. The point of bronchial hyperreactivity (BHR)…

Корица - 112023
All issues in 2023

Issue 11/2023

Ear / Nose / Throat Allergic rhinitis – a risk factor for asthma Perenovska, P. Phenotypes of non allergic rhinitis…

корица 10
All issues in 2023

Issue 10/2023

Endocrinology Carcinogenic risk in obesity and diabetes mellitus Karamfilova, V., Nedeva, I. Anthropometric studies on the effect of yogurt fermented…

fb like

About us

GPNews magazine
A peer of the GP practice in our country
The only specialized edition for general practitioners
12 monthly booklets on topics vital to your practice

Menu

  • Home
  • About us
  • Contact us

Information

  • For authors
  • Publishing ethics
  • For advertising

Copyright © 2025 GPNews. All rights reserved.

Web design and SEO by Tribest

  • GDPR
Scroll to top
  • Home
  • Issues
    • 2025
    • 2024
    • 2023
    • 2022
  • Article summaries
    • AG and Neonatology
    • Allergology
    • Dental Health
    • Cardiology
    • Dermatology and Cosmetics
    • Endocrinology
    • From the Practice
    • Gastroenterology
    • History Teaches
    • In the World of Viruses
    • Nature Teaches
    • Neurology and Psychiatry
    • Nutrition, Dietetics, Metabolism
    • Oncology
    • Ophtalmology
    • Others
    • Otorhinolaryngology and Pulmonary Diseases
    • Pediatrics
    • Rheumatology and Diseases of the Joints
    • Test on a Clinical Case
    • Urology and Nephrology
  • Subscription
  • About us
  • For advertising
  • For authors
  • Publishing ethics
  • Contacts
  • GDPR
Search