Artificial Intelligence Application in Cornea and External Diseases

Dear Colleagues,

AI has attracted the attention of diverse medical disciplines. It has exhibited promise in enhancing the efficiency of healthcare via supporting automated clinical diagnoses through complex analyses across numerous dimensions. Moreover, it has the potential to decrease the reliance on expensive diagnostic tools and personnel, facilitating improved healthcare delivery. Furthermore, the recent global health crisis caused by the COVID-19 pandemic has significantly affected patients and services in the field of ophthalmology, underscoring the significance of digital healthcare. Within the realm of ophthalmology, AI has proven to possess diagnostic precision akin to that of medical professionals in identifying conditions such as macular degeneration, glaucoma, and diabetic retinopathy. However, there is still a need for expanded research and development in the areas of the cornea and anterior segment. Scientific teams worldwide have evaluated the effectiveness of AI algorithms in diagnosing various diseases of the anterior segment of the eye. In this Special Issue, we aim to cover the latest innovations and advancements in the application of AI in the diagnosis, monitoring, and management of cornea and ocular surface conditions.

Dr. Ali R. Djalilian
Dr. Mohammad Soleimani
Guest Editors

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• artificial intelligence
• machine learning
• cornea
• ocular surface
• ophthalmology
• external eye diseases
• mobile health
• telemedicine