
Retinopathy of prematurity training and education: A systematic review.
“Exploring ROP Training Gaps: 70% of Ophthalmologists Lack Adequate Exposure 📉👁️”
Discover the newest research about AI innovations in 👁️ Ophthalmology.
“Exploring ROP Training Gaps: 70% of Ophthalmologists Lack Adequate Exposure 📉👁️”
Lissamine Green: Key Diagnostic Tool in Ocular Surface Disease 🏥👁️
Exploring Large Language Models in Healthcare: Transformative Potential & Ethical Considerations 🤖💉
AI in anterior segment disease diagnosis shows 90% accuracy, enhancing personalized care and treatment outcomes. 🤖👁️
Federal grant of $2.9M supports digital dementia care for CALD communities, enhancing skills for informal carers. 🧠💻
AI-SaMD: Key Findings & Challenges in Medical Applications 🤖📊
Large language models show promise in educating Chinese patients with ocular myasthenia gravis. 📚🤖 Accuracy and readability are key factors.
AI shows promise in enhancing epiretinal membrane care through improved detection and prognostication. 🧠👁️ Read our review of the study.
A recent PubMed article explores how a surgical support robot reduces hand tremors during internal limiting membrane peeling. 🤖✋
A recent study explores using a convolutional neural network to predict diabetic macular edema treatment responses. 🤖👁️