Ophthalmology

Latest AI and machine learning research in ophthalmology for healthcare professionals.

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Convolutional neural network-based regression analysis to predict subnuclear chromatin organization from two-dimensional optical scattering signals.

SIGNIFICANCE: Azimuth-resolved optical scattering signals obtained from cell nuclei are sensitive to...

AI can see you: Machiavellianism and extraversion are reflected in eye-movements.

INTRODUCTION: Recent studies showed an association between personality traits and individual pattern...

Artificial intelligence in corneal diseases: A narrative review.

Corneal diseases represent a growing public health burden, especially in resource-limited settings l...

Artificial intelligence applications in cataract and refractive surgeries.

PURPOSE OF REVIEW: This review highlights the recent advancements in the applications of artificial ...

CMCN: Chinese medical concept normalization using continual learning and knowledge-enhanced.

Medical Concept Normalization (MCN) is a crucial process for deep information extraction and natural...

Artificial intelligence in myopia in children: current trends and future directions.

PURPOSE OF REVIEW: Myopia is one of the major causes of visual impairment globally, with myopia and ...

Vision language models in ophthalmology.

PURPOSE OF REVIEW: Vision Language Models are an emerging paradigm in artificial intelligence that o...

The AI revolution in glaucoma: Bridging challenges with opportunities.

Recent advancements in artificial intelligence (AI) herald transformative potentials for reshaping g...

Utilizing Large Language Models in Ophthalmology: The Current Landscape and Challenges.

A large language model (LLM) is an artificial intelligence (AI) model that uses natural language pro...

Development and Testing of Artificial Intelligence-Based Mobile Application to Achieve Cataract Backlog-Free Status in Uttar Pradesh, India.

BACKGROUND: Uttar Pradesh (UP), the most populous state in India, has about 36 million people aged 5...

An intelligent deep augmented model for detection of banana leaves diseases.

One of the most popular fruits worldwide is the banana. Accurate identification and categorization o...

Metadata information and fundus image fusion neural network for hyperuricemia classification in diabetes.

OBJECTIVE: In diabetes mellitus patients, hyperuricemia may lead to the development of diabetic comp...

Risk factors for the time to development of retinopathy of prematurity in premature infants in Iran: a machine learning approach.

BACKGROUND: Retinopathy of prematurity (ROP), is a preventable leading cause of blindness in infants...

The use of artificial neural networks in studying the progression of glaucoma.

In ophthalmology, artificial intelligence methods show great promise due to their potential to enhan...

VT-3DCapsNet: Visual tempos 3D-Capsule network for video-based facial expression recognition.

Facial expression recognition(FER) is a hot topic in computer vision, especially as deep learning ba...

DiagSWin: A multi-scale vision transformer with diagonal-shaped windows for object detection and segmentation.

Recently, Vision Transformer and its variants have demonstrated remarkable performance on various co...

Exploring artificial intelligence role in improving service building engagement in sorting.

Waste management researchers have identified that the correct disposal of solid waste is better addr...

Prediction of midpalatal suture maturation stage based on transfer learning and enhanced vision transformer.

BACKGROUND: Maxillary expansion is an important treatment method for maxillary transverse hypoplasia...

PVTAD: ALZHEIMER'S DISEASE DIAGNOSIS USING PYRAMID VISION TRANSFORMER APPLIED TO WHITE MATTER OF T1-WEIGHTED STRUCTURAL MRI DATA.

Alzheimer's disease (AD) is a neurodegenerative disorder, and timely diagnosis is crucial for early ...

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