Ophthalmology

Integrating Large Language Model, EEG, and Eye-Tracking for Word-Level Neural State Classification in Reading Comprehension.

With the recent proliferation of large language models (LLMs), such as Generative Pre-trained Transf...

RSE-YOLOv8: An Algorithm for Underwater Biological Target Detection.

Underwater target detection is of great significance in underwater ecological assessment and resourc...

A comparative evaluation of deep learning approaches for ophthalmology.

There is a growing number of publicly available ophthalmic imaging datasets and open-source code for...

Bio-inspired deep neural local acuity and focus learning for visual image recognition.

In the field of computer vision and image recognition, enabling the computer to discern target featu...

TAG-SPARK: Empowering High-Speed Volumetric Imaging With Deep Learning and Spatial Redundancy.

Two-photon high-speed fluorescence calcium imaging stands as a mainstream technique in neuroscience ...

The Epistemological Nuances of Interpreting Adaptive Machine Learning Systems Through the Lens of Surgical Innovation.

Role of Artificial Intelligence in Retinal Diseases.

Artificial intelligence (AI) has already found its way into ophthalmology, with the first approved a...

Gemini AI vs. ChatGPT: A comprehensive examination alongside ophthalmology residents in medical knowledge.

INTRODUCTION: The rapid advancement of artificial intelligence (AI), particularly in large language ...

Deep feature fusion with computer vision driven fall detection approach for enhanced assisted living safety.

Assisted living facilities cater to the demands of the elderly population, providing assistance and ...

Influence of next-generation artificial intelligence on headache research, diagnosis and treatment: the junior editorial board members' vision - part 1.

Artificial intelligence (AI) is revolutionizing the field of biomedical research and treatment, leve...

Automatic segmentation of echocardiographic images using a shifted windows vision transformer architecture.

Echocardiography is one the most commonly used imaging modalities for the diagnosis of congenital he...

Exploring Artificial Intelligence Programs' Understanding of Lens, Cataract, and Refractive Surgery Information.

PURPOSE: We aimed to evaluate the success of Chat Generative Pre-trained Transformer (ChatGPT), Bing...

Diagnostic Performance of the Offline Medios Artificial Intelligence for Glaucoma Detection in a Rural Tele-Ophthalmology Setting.

PURPOSE: This study assesses the diagnostic efficacy of offline Medios Artificial Intelligence (AI) ...

An attentional mechanism model for segmenting multiple lesion regions in the diabetic retina.

Diabetic retinopathy (DR), a leading cause of blindness in diabetic patients, necessitates the preci...

Comparison of Vision Transformers and Convolutional Neural Networks in Medical Image Analysis: A Systematic Review.

In the rapidly evolving field of medical image analysis utilizing artificial intelligence (AI), the ...

Exploring the Global Reaction Coordinate for Retinal Photoisomerization: A Graph Theory-Based Machine Learning Approach.

Unraveling the reaction pathway of photoinduced reactions poses a great challenge owing to its compl...

The Normalization of Vaping on TikTok Using Computer Vision, Natural Language Processing, and Qualitative Thematic Analysis: Mixed Methods Study.

BACKGROUND: Social media posts that portray vaping in positive social contexts shape people's percep...

Oscillations in an artificial neural network convert competing inputs into a temporal code.

The field of computer vision has long drawn inspiration from neuroscientific studies of the human an...

Machine learning methods to discover hidden patterns in well-being and resilience for healthy aging.

BACKGROUND: A whole person approach to healthy aging can provide insight into social factors that ma...

Novel artificial intelligence for diabetic retinopathy and diabetic macular edema: what is new in 2024?

PURPOSE OF REVIEW: Given the increasing global burden of diabetic retinopathy and the rapid advancem...

Artificial intelligence for geographic atrophy: pearls and pitfalls.

PURPOSE OF REVIEW: This review aims to address the recent advances of artificial intelligence (AI) i...