AI Chatbots Enhance Patient Education in Eye Care
AI chatbots improve patient education in eye care, offering multilingual support for understanding serious conditions like retinal detachment. ποΈπ€
May 12, 2026
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Discover the newest research about AI innovations in ποΈ Ophthalmology.
SkinFormer: a hybrid vision transformer and ConvNeXtV2 approach for skin cancer detection and segmentation.
Innovative SkinFormer model enhances skin cancer detection accuracy by 15% using hybrid vision transformer technology. ππ©Ί
April 27, 2026
AI-Enhanced Portable Eye Scanner Improves Community Screening Access
AI-powered portable eye scanner enhances access to eye health screenings in various community settings. ποΈπ±
April 27, 2026
Amino Acid Metabolism in Retinal Diseases: Mechanisms, Diagnostics, and Therapeutic Opportunities.
Amino acids impact retinal health! 𧬠Explore metabolic disruptions, diagnostics, and innovative therapies in retinal diseases. ποΈ
April 23, 2026
MaxGRNet: A multi-axis vision transformer with improved generalization for eye disease classification using explainable AI with insertion-deletion operations on fundus images.
MaxGRNet: Eye disease classification achieves 96.75% accuracy using multi-axis vision transformers and explainable AI. ποΈπ
April 9, 2026
Royal Surrey NHS Foundation Trust Implements New Ophthalmology EPR System
Royal Surrey NHS Foundation Trust has launched a new ophthalmology EPR system from Medisoft. This aims to enhance patient care. ποΈπ
April 7, 2026
What Lies beneath Diabetic Macular Edema: Latent Phenotypic Clustering and Differential Treatment Responses to Intravitreal Therapies.
Diabetic Macular Edema: 3 distinct phenotypic clusters impact treatment response. πποΈ Tailored therapies may optimize outcomes.
December 12, 2025
Assessing the quality and educational applicability of AI-generated anterior segment images in ophthalmology.
AI-generated images in ophthalmology show promise for education, but expert validation is crucial. πποΈ
November 29, 2025
Deep learning model using cross-sequence learning to identify orbital fractures in radiographs of patients under 20Β Years.
Deep learning model detects orbital fractures in youth radiographs: AUROC 0.802, sensitivity 65.8%, specificity 86.5%. πποΈ
September 18, 2025
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