Ophthalmology

AI in the clinical management of GA: A novel therapeutic universe requires novel tools.

Regulatory approval of the first two therapeutic substances for the management of geographic atrophy...

A Real-Time Embedded System for Driver Drowsiness Detection Based on Visual Analysis of the Eyes and Mouth Using Convolutional Neural Network and Mouth Aspect Ratio.

Currently, the number of vehicles in circulation continues to increase steadily, leading to a parall...

High-resolution AI image dataset for diagnosing oral submucous fibrosis and squamous cell carcinoma.

Oral cancer is a global health challenge with a difficult histopathological diagnosis. The accurate ...

Detection of breast cancer in digital breast tomosynthesis with vision transformers.

Digital Breast Tomosynthesis (DBT) has revolutionized more traditional breast imaging through its th...

Visual search and real-image similarity: An empirical assessment through the lens of deep learning.

The ability to predict how efficiently a person finds an object in the environment is a crucial goal...

Abnormal phenotypic defects detection of jujube using explainable machine learning enhanced computer vision.

Jujube is susceptible to biotic and abiotic adversity stresses resulting in abnormal phenotypic defe...

Optimizing waste handling with interactive AI: Prompt-guided segmentation of construction and demolition waste using computer vision.

Optimized and automated methods for handling construction and demolition waste (CDW) are crucial for...

No-reference stereoscopic image quality assessment based on binocular collaboration.

Stereoscopic images typically consist of left and right views along with depth information. Assessin...

Application of machine vision in food computing: A review.

With global intelligence advancing and the awareness of sustainable development growing, artificial ...

Progression to refractory status epilepticus: A machine learning analysis by means of classification and regression tree analysis.

BACKGROUND AND OBJECTIVES: to identify predictors of progression to refractory status epilepticus (R...

Optimized deep maxout for crowd anomaly detection: A hybrid optimization-based model.

Monitoring Surveillance video is really time-consuming, and the complexity of typical crowd behaviou...

Diagnosing Cataracts in the Digital Age: A Survey on AI, Metaverse, and Digital Twin Applications.

PURPOSE: The study explores the evolving landscape of cataract diagnosis, focusing on both tradition...

Computer Vision Identification of Trachomatous Inflammation-Follicular Using Deep Learning.

PURPOSE: Trachoma surveys are used to estimate the prevalence of trachomatous inflammation-follicula...

Embracing generative AI in ophthalmology.

Generative artificial intelligence in ophthalmology: current innovations, future applications and challenges.

The rapid advancements in generative artificial intelligence are set to significantly influence the ...

Foundation models in ophthalmology.

Foundation models represent a paradigm shift in artificial intelligence (AI), evolving from narrow m...

Towards regulatory generative AI in ophthalmology healthcare: a security and privacy perspective.

As the healthcare community increasingly harnesses the power of generative artificial intelligence (...

Medical education with large language models in ophthalmology: custom instructions and enhanced retrieval capabilities.

Foundation models are the next generation of artificial intelligence that has the potential to provi...

Validation of a deep learning model for automatic detection and quantification of five OCT critical retinal features associated with neovascular age-related macular degeneration.

PURPOSE: To develop and validate a deep learning model for the segmentation of five retinal biomarke...

Assessing the medical reasoning skills of GPT-4 in complex ophthalmology cases.

BACKGROUND/AIMS: This study assesses the proficiency of Generative Pre-trained Transformer (GPT)-4 i...

Capabilities of GPT-4 in ophthalmology: an analysis of model entropy and progress towards human-level medical question answering.

BACKGROUND: Evidence on the performance of Generative Pre-trained Transformer 4 (GPT-4), a large lan...