Latest AI and machine learning research in ophthalmology for healthcare professionals.
The StitchNet framework introduced a paradigm shift in Neural Architecture Search (NAS) by proposing the construction of neural networks from pre-trained fragments. This approach reduces computational costs and enables task-specific model creation without retraining entire networks. Building on this foundation, our study evaluates the practical application of StitchNet in constructing neural netwo...
OBJECTIVES: This study aimed to compare year-over-year change in ChatGPT's performance on nationwide ophthalmology exams with the performance change among residents over the same period. MATERIALS AND METHODS: This observational study included ophthalmology residents in Türkiye who participated in both the 2023 and 2024 Resident Training Development Exams organized by the Turkish Ophthalmological ...
Ophthalmology significantly contributes to the healthcare sector's carbon footprint. Despite recent increases in sustainability research in ophthalmol...
BACKGROUND: C-X-C motif chemokine receptor 4 (CXCR4)-directed radiopharmaceutical therapy (RPT) represents a promising option for hematologic malignan...
PURPOSE: Differentiating conjunctival intraepithelial neoplasia (CIN) from pterygium and pseudopterygium remains clinically challenging, especially in...
Primary open-angle glaucoma (POAG) is one of the most common neurodegenerative diseases that cause irreversible optic nerve damage. POAG diagnosis req...
BACKGROUND: The convergence of digital health and One Health represents an emergent paradigm in global health governance. While widely discussed in hi...
Counterfeit and substandard pharmaceuticals represent a critical global health crisis, with the World Health Organisation (WHO) reporting that falsifi...
Intrinsically disordered proteins and regions (collectively IDRs) are found across all kingdoms of life and have critical roles in virtually every euk...
AIM: To present an overview of the research on global glaucoma treatment in the last decade in terms of publication year, journals, countries/regions,...
PURPOSE OF REVIEW: Emerging biobank resources allow large-scale integration of eye-specific phenotypes with clinical, genomic, and multiomic data. Thi...
PURPOSE: To evaluate the effectiveness and generalizability of bias mitigation methods in glaucoma progression prediction models across a multicenter ...
Optogenetics enable the restoration of light sensitivity in various retinal cell types. In degenerated retinas, dormant cones whose cell bodies are in...
PURPOSE: Germline pathogenic variants (GPV) are frequently identified as secondary findings in cancer gene panel testing. Due to limited data on germl...
BACKGROUND: The process of developing and updating an evidence gap map (EGM) is based on the principles of systematic reviews and requires extensive t...
PURPOSE: To compare accuracy of nine artificial intelligence (AI)- based intraocular lens (IOL) power calculation formulas in eyes with axial length >...
The precise identification and assessment of organic chemical compounds from polluted water have become crucial for managing their environmental impac...
Immune checkpoint blockade, particularly programmed cell death protein 1 inhibition, has redefined the management of classic Hodgkin lymphoma (cHL), a...
PURPOSE OF REVIEW: Artificial intelligence has been integrated in nearly all aspects of clinical care to improve patient outcomes, augment human capab...