Glaucoma is one of the leading causes of irreversible blindness, often developing without any warning signs, but experts say, early detection, through comprehensive eye exams, can make all the ...

DetectAnyLLM is an AI-generated text detection (i.e., Machine-Generated Text Detection) model based on the Fast-DetectGPT framework, optimized using DDL (Direct Discrepancy Learning). DDL is a novel ...

Abstract: Glaucoma remains a major global cause of irreversible blindness, with early detection often hindered by its asymptomatic progression leading to nearly half of cases going undiagnosed. In ...

Machine learning models can assist in predicting patients at risk of postoperative hyperopic shift. Machine learning models can predict the risk of hyperopic shift (HS) after phacoemulsification ...

Ophthalmologists discuss how advanced imaging, MIGS, and home monitoring are reshaping decision-making in complex glaucoma cases. Glaucoma continues to challenge clinicians as one of the world’s ...

Machine learning (ML) outperforms human graders for diagnosing glaucoma. HealthDay News — Machine learning (ML) outperforms human graders for diagnosing glaucoma, according to a study presented at the ...

1 Department of Management Science and Engineering, Stanford University, Stanford, CA, United States 2 Department of Ophthalmology, Byers Eye Institute, Stanford University, Stanford, CA, United ...

Byers Eye Institute, Department of Ophthalmology, Stanford University, Stanford, United States The final, formatted version of the article will be published soon. Purpose: To develop machine learning ...

ABSTRACT: Fecal microbiota transplantation (FMT) has evolved from ancient Chinese medicine to a modern therapeutic intervention, gaining recognition in 1958 for treating pseudomembranous colitis.

Deep learning–based Glaucoma detection using CNN, Transfer Learning, and NSGA-II optimization, with a Flask web app for real-time predictions and Grad-CAM visualizations.