Ophthalmology

Automated segmentation of pterygium lesions using multiscale deep learning networks.

Pterygium is an eye condition that needs to be identified at an early stage so that its progression can be mitigated in order to avoid the possible threat of visual impairment. One of the important low-level modules in determining the severity level of the pterygium automatically is to measure the extent of fibrovascular tissue encroachment onto the corneal and pupil regions. Therefore, it is impo...

An On-Demand Neuromorphic Vision System Enabled by a Multi-Paradigm Neuromorphic Device and Hierarchical Reconfigurability Designed from Device to System Level.

There are two general approaches in guiding intelligent vision system development: one emphasizes ultra-flexibility (reconfigurability) for adapting to various scenarios, and the other emphasizes ultrahigh power efficiency tailored to specific applications. The pinnacle design is geared toward the biological vision system with concurrent high levels of on-demand intelligence, efficiency, and flexi...

Primary infliximab failure in pediatric colonic inflammatory bowel disease: Development of a proteomics predictive model using a prospective Canadian cohort.

BACKGROUND: We aimed to build a serum proteomics-based model to predict primary nonresponse (PNR) to infliximab (IFX) in pediatric colonic inflammator...

Bioinspired adaptive pupil reflex based on liquid-metal shape-shifters for machine vision.

Inspired by the evolutionary diversification of biological eyes for environmental adaptation, recently emerged artificial counterparts offer a variety...

Deep learning-based detection of retinal detachment with vitreous hemorrhage in ocular ultrasound images.

Retinal detachment (RD) is a serious ocular disease that can lead to permanent vision loss. In cases with fundus-obscuring vitreous hemorrhage (VH), i...

Automated cone photoreceptor detection using synthetic data and deep learning in confocal adaptive optics scanning laser ophthalmoscope images.

Adaptive optics scanning laser ophthalmoscope (AOSLO) imaging enables the cone photoreceptor mosaic to be visualised in the living human eye. Performi...

[Pay attention to blepharospasm and dry eye].

Blepharospasm-related dry eye is a complex multifactorial comorbidity involving neural, ocular surface, and psychological factors, currently facing co...

TriFTM-Net: Tri-Path Fourier-Temporal Modulation Network for macular edema pathology segmentation and reconstruction in high-precision intraoperative navigation.

Ophthalmic diseases such significantly impair the vision of numerous individuals globally. Accurate and real-time 3D reconstruction of macular edema a...

Deep learning-based diagnostic classification of multiple sclerosis using multicenter optical coherence tomography data.

BACKGROUND: Multiple sclerosis (MS) is a chronic inflammatory disorder of the central nervous system, where timely and accurate diagnosis is essential...

Associations of AI-Based Facial Metrics With Patient-Reported Outcomes in Idiopathic Facial Paralysis.

OBJECTIVE: Conventional grading scales and static image assessments may not capture dynamic facial movement in facial paralysis. We developed a video-...

Smartphone-Based Portable Slit Lamp in Anterior Segment Diseases: A Narrative Review of Clinical Assessment and Integration with Artificial Intelligence.

Smartphone-based portable slit lamps are rapidly evolving from simple add-ons into practical, low-cost front-line tools for anterior segment care beyo...

Sharper than human eyes? A systematic review and meta-analysis of machine learning for retinal detachment detection.

Retinal detachment (RD) is a sight-threatening condition requiring rapid diagnosis to prevent vision loss. Artificial intelligence (AI), particularly ...

Comprehensive 3D Optical Coherence Tomography Dataset for AMD and DME: Facilitating Deep-Learning-Based 3D Segmentation.

Age-related macular degeneration (AMD) and diabetic macular edema (DME) are vision-threatening pathologies for which optical coherence tomography (OCT...

Advances in Synovial Fluid Analysis for the Diagnosis of Crystal Arthropathies.

Synovial fluid analysis remains to be a critical aspect of the diagnosis of crystal arthropathies. The gold standard, compensated polarized light micr...

Classification of liver tissue pathological changes via optical biopsy based on refractive index sensing.

Optical biopsy enables minimally invasive, quantitative tissue assessment, yet clinically useful implementations require rapid and objective decision-...

Quantitative Assessment of the Extent of Retinal Vascularization in Retinopathy of Prematurity.

OBJECTIVE: To evaluate pixel-based measurements of the minimum nasal and temporal extent of retinal vascularization (NERV and TERV) from RetCam images...

Comment Letter on "CATALYZE: a deep learning approach for cataract assessment and grading on SS-OCT images".

Artificial Intelligence in Uveitis: A 360-Degree Perspective.

Homogeneous integration of two-dimensional material-based optoelectronic neurons and ferroelectric synapses for neuromorphic vision.

Dynamic vision processing at the edge requires in-sensor spiking neural networks (SNNs) to achieve high energy efficiency and rapid processing. Althou...

SwinCup-DiscNet: A fusion transformer framework for glaucoma diagnosis using optic disc and cup features.

Glaucoma remains a critical cause of permanent global visual disability, and is produced by advancing destruction of the visual nerve head (ONH). Earl...