Ophthalmology

Effects of chloramphenicol, povidone-iodine 1% and 5% eye drops on the colonisation of conjunctival flora in patients undergoing cataract surgery.

OBJECTIVES: the aim was to compare 2 drops of either 5% chloramphenicol, 1% povidone-iodine or 5% povidone-iodine before cataract surgery on reducing the colonisation of bacterial flora in the conjunctiva.

Population stratification strategies in artificial intelligence-based glaucoma monitoring, "corneal anthropology" to bridge gap between genetics and clinics?

Deep learning-based detection of diabetic macular edema using optical coherence tomography and fundus images: A meta-analysis.

Diabetic macular edema (DME) is an important cause of visual impairment in the working-age group. Deep learning methods have been developed to detect ...

[A Case of Refractory Lymphatic Leakage after Robot-Assisted Radical Cystectomy].

A 78-year-old male visited the referring hospital because of asymptomatic gross hematuria. The patient was diagnosed with bladder cancer, clinical sta...

[Research on eye movement data classification using support vector machine with improved whale optimization algorithm].

When performing eye movement pattern classification for different tasks, support vector machines are greatly affected by parameters. To address this p...

Automatic Identification and Segmentation of Orbital Blowout Fractures Based on Artificial Intelligence.

PURPOSE: The incidence of orbital blowout fractures (OBFs) is gradually increasing due to traffic accidents, sports injuries, and ocular trauma. Orbit...

An Ethics Framework as a Lens for Artificial Intelligence in Breast Imaging.

Deep Learning Using Images of the Retina for Assessment of Severity of Neurological Dysfunction in Parkinson Disease.

PhacoTrainer: Deep Learning for Cataract Surgical Videos to Track Surgical Tools.

PURPOSE: The purpose of this study was to build a deep-learning model that automatically analyzes cataract surgical videos for the locations of surgic...

Mesoscopic structural analysis via deep learning processing, with a special reference to in vitro alteration in collagen fibre induced by a gap junction inhibitor.

Dense connective tissue, including the ligament, tendon, fascia and cornea, is formed by regularly arranged collagen fibres synthesized by fibroblasts...

PyVisualFields: A Python Package for Visual Field Analysis.

PURPOSE: Artificial intelligence (AI) methods are changing all areas of research and have a variety of capabilities of analysis in ophthalmology, spec...

Medical Application of Geometric Deep Learning for the Diagnosis of Glaucoma.

PURPOSE: (1) To assess the performance of geometric deep learning in diagnosing glaucoma from a single optical coherence tomography (OCT) scan of the ...

A low-frequency acceleration sensor inspired by saccule in human vestibule.

A human vestibular system is a group of devices in the inner ear that govern the balancing movement of the head, in which the saccule is responsible f...

Through the eyes into the brain, using artificial intelligence.

INTRODUCTION: Detection of neurological conditions is of high importance in the current context of increasingly ageing populations. Imaging of the ret...

Deblur or denoise: the role of an aperture in lens and neural network co-design.

Co-design methods have been introduced to jointly optimize various optical systems along with neural network processing. In the literature, the apertu...

[Exploration and practice of artificial intelligence assisted primary vision health management].

It has attracted much attention worldwide that the application of artificial intelligence (AI) in primary screening and clinical diagnosis and treatme...

Deep Learning Model for Static Ocular Torsion Detection Using Synthetically Generated Fundus Images.

PURPOSE: The objective of the study is to develop deep learning models using synthetic fundus images to assess the direction (intorsion versus extorsi...

Explaining the Neuroevolution of Fighting Creatures Through Virtual fMRI.

While interest in artificial neural networks (ANNs) has been renewed by the ubiquitous use of deep learning to solve high-dimensional problems, we are...

ChatGPT: Impact of an artificial author on bibliometrics.

The use of Artificial Intelligence (AI) in medical science has been widely discussed and debated. Topol foresaw that AI, particularly deep learning, w...

Artificial intelligence and machine learning in ophthalmology: A review.

Since the introduction of artificial intelligence (AI) in 1956 by John McCarthy, the field has propelled medicine, optimized efficiency, and led to te...