Ophthalmology

[Artificial intelligence (AI) in age-related macular degeneration].

ChatGPT and retinal disease: a cross-sectional study on AI comprehension of clinical guidelines.

OBJECTIVE: To evaluate the performance of an artificial intelligence (AI) large language model, Chat...

The Role of Artificial Intelligence in Predicting Optic Neuritis Subtypes From Ocular Fundus Photographs.

BACKGROUND: Optic neuritis (ON) is a complex clinical syndrome that has diverse etiologies and treat...

Cognitive vision: AI automation of the surgical eye in fluorescence angiography - correspondence.

LASIK Versus PRK Based on Increased Risk of Corneal Haze: Assessing Current Decision-Making Capabilities of Six Artificial Intelligence Models in Refractive Surgery.

PURPOSE: To investigate the current decision-making capabilities of 6 different artificial intellige...

Artificial Intelligence for Early Detection of Pediatric Eye Diseases Using Mobile Photos.

IMPORTANCE: Identifying pediatric eye diseases at an early stage is a worldwide issue. Traditional s...

Precision improvement of robotic bioprinting via vision-based tool path compensation.

Robotic 3D bioprinting is a rapidly advancing technology with applications in organ fabrication, tis...

[Use of artificial intelligence for recognition of biomarkers in intermediate age-related macular degeneration].

Advances in imaging and artificial intelligence (AI) have revolutionized the detection, quantificati...

[Use of artificial intelligence in geographic atrophy in age-related macular degeneration].

The first regulatory approval of treatment for geographic atrophy (GA) secondary to age-related macu...

Hybrid deep learning models for the screening of Diabetic Macular Edema in optical coherence tomography volumes.

Several studies published so far used highly selective image datasets from unclear sources to train ...

Communicating exploratory unsupervised machine learning analysis in age clustering for paediatric disease.

BACKGROUND: Despite the increasing availability of electronic healthcare record (EHR) data and wide ...

Biomimetic fusion: Platyper's dual vision for predicting protein-surface interactions.

Predicting protein binding with the material surface still remains a challenge. Here, a novel approa...

The role of saliency maps in enhancing ophthalmologists' trust in artificial intelligence models.

PURPOSE: Saliency maps (SM) allow clinicians to better understand the opaque decision-making process...

Interpretation and explanation of computer vision classification of carambola (Averrhoa carambola L.) according to maturity stage.

The classification of carambola, also known as starfruit, according to quality parameters is usually...

A Comprehensive Survey on Emerging Assistive Technologies for Visually Impaired Persons: Lighting the Path with Visible Light Communications and Artificial Intelligence Innovations.

In the context in which severe visual impairment significantly affects human life, this article emph...

Neural activity shaping in visual prostheses with deep learning.

The visual perception provided by retinal prostheses is limited by the overlapping current spread of...

Understanding natural language: Potential application of large language models to ophthalmology.

Large language models (LLMs), a natural language processing technology based on deep learning, are c...

Natural Language Processing in medicine and ophthalmology: A review for the 21st-century clinician.

Natural Language Processing (NLP) is a subfield of artificial intelligence that focuses on the inter...

A deep learning framework for the early detection of multi-retinal diseases.

Retinal images play a pivotal contribution to the diagnosis of various ocular conditions by ophthalm...

CT-based artificial intelligence prediction model for ocular motility score of thyroid eye disease.

PURPOSE: Thyroid eye disease (TED) is the most common orbital disease in adults. Ocular motility res...

Adaptative machine vision with microsecond-level accurate perception beyond human retina.

Visual adaptive devices have potential to simplify circuits and algorithms in machine vision systems...