Review of Retinopathy of Prematurity Management in the Anti-VEGF Era: Evolving Global Paradigms, Persistent Challenges and Our AI-Assisted Future.
Retinopathy of Prematurity: Anti-VEGF Impact & AI’s Role in Screening ππΆ
September 8, 2025
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Discover the newest research about AI innovations in ποΈ Ophthalmology.
Identifying Transportation Needs in Ophthalmology Clinic Notes Using Natural Language Processing: Retrospective, Cross-Sectional Study.
NLP identifies transportation insecurity in 0.6% of ophthalmology patients, enhancing access to care. πποΈ
September 8, 2025
Artificial intelligence in advancing optical coherence tomography for disease detection and cancer diagnosis: A scoping review.
AI enhances Optical Coherence Tomography (OCT) for disease detection, improving diagnostic accuracy and patient outcomes. ππ©Ί
August 22, 2025
A Practical Guide to Evaluating Artificial Intelligence Imaging Models in Scientific Literature.
Evaluating AI in Ophthalmology: Key Insights from Recent Research π©Ίπ
August 9, 2025
AI-Assisted identification of sex-specific patterns in diabetic retinopathy using retinal fundus images.
AI reveals sex-specific diabetic retinopathy patterns in retinal images. AUC scores: 0.72 & 0.75. Key findings on risk factors! ποΈπ
August 8, 2025
Call for Standardisation of Electronic Health Records in Eye Care
Call for standardisation of electronic health records in eye care aims to improve patient safety and care continuity. π₯ποΈ
August 3, 2025
Retinopathy of prematurity training and education: A systematic review.
“Exploring ROP Training Gaps: 70% of Ophthalmologists Lack Adequate Exposure πποΈ”
June 23, 2025
Lissamine Green in Ophthalmology: A Comprehensive Review of Diagnostic and Clinical Applications.
Lissamine Green: Key Diagnostic Tool in Ocular Surface Disease π₯ποΈ
June 6, 2025
Roles and Potential of Large Language Models in Healthcare: A Comprehensive Review.
Exploring Large Language Models in Healthcare: Transformative Potential & Ethical Considerations π€π
May 5, 2025
Advancements in artificial intelligence for the diagnosis and management of anterior segment diseases.
AI in anterior segment disease diagnosis shows 90% accuracy, enhancing personalized care and treatment outcomes. π€ποΈ
April 26, 2025