Ophthalmology

Reviving the Past, Moving on to the Present, and Planning for the Future of Craniofacial Malformations.

The malformed newborn with craniofacial anomalies was variously regarded in different civilizations....

Automated fluid monitoring to optimize the follow-up of neovascular age-related macular degeneration patients in the Brazilian population.

OBJECTIVES: To investigate the efficacy of an artificial intelligence (AI)-based fluid monitoring to...

Efficient attention vision transformers for monocular depth estimation on resource-limited hardware.

Vision Transformers show important results in the current Deep Learning technological landscape, bei...

Diabetic retinopathy in rural communities: a review of barriers to access of care and potential solutions.

INTRODUCTION: Diabetic retinopathy (DR) is a leading cause of vision loss. With an estimated 38.4 mi...

Improving risk assessment of local failure in brain metastases patients using vision transformers - A multicentric development and validation study.

BACKGROUND AND PURPOSE: This study investigates the use of Vision Transformers (ViTs) to predict Fre...

Corrigendum to "Machine learning reveals ATM and CNOT6L as critical factors in cataract pathogenesis" [Exp. Eye Res. 257 (2025) 110448].

Computer vision for automatic identification of blastocyst structures and blastocyst formation time in In-Vitro Fertilization.

Embryo selection is an indispensable step to ensure the success of In-Vitro Fertilization; however, ...

D-optimal candexch algorithm-enhanced machine learning UV-spectrophotometry for five-analyte determination in novel anti-glaucoma formulations and ocular fluids: four-color sustainability framework with NQS assessment and UN-SDG integration.

The novel anti-glaucoma ophthalmic preparation containing latanoprost, netarsudil, and benzalkonium ...

Machine learning analysis of a Fano resonance based plasmonic refractive index sensor using U shaped resonators.

Plasmonic sensors have received special consideration for refractive index (RI) measurement due to t...

Neural network assisted annotation and analysis tool to study in-vivo foveolar cone photoreceptor topography.

The foveola, the central region of the human retina, plays a crucial role in sharp color vision and ...

Computational modelling of aggressive B-cell lymphoma.

Decades of research into the molecular signalling determinants of B cell fates, and recent progress ...

Developing Nationwide Estimates of Built Environment Quality Characteristics Using Street-View Imagery and Computer Vision.

Environmental health studies commonly rely on urban composition measures for built environment expos...

A novel hybrid vision UNet architecture for brain tumor segmentation and classification.

This paper focuses on designing and developing novel architectures termed Hybrid Vision UNet-Encoder...

A three-tier AI solution for equitable glaucoma diagnosis across China's hierarchical healthcare system.

Artificial intelligence (AI) offers a solution to glaucoma care inequities driven by uneven resource...

Artificial Intelligence-Assisted Conductive Hydrogel Dressings for Refractory Wounds Monitoring.

Refractory wounds cause significant harm to the health of patients and the most common treatments in...

Preserving Professional Human Caring in Nursing in the Era of Artificial Intelligence.

This article examines Professional Human Caring in Nursing within the evolving landscape of artifici...

Universal dimensions of visual representation.

Do visual neural networks learn brain-aligned representations because they share architectural const...

Machine learning-driven prediction of eye irritation toxicity: Integration of in silico and in vitro study.

Eye irritation (EI) toxicity poses critical challenges in chemical safety assessment, demanding alte...

Stereotactic radiotherapy or protons for uveal melanoma patients? An artificial intelligence (AI)-based clinical treatment decision-making tool predicting doses to radiotherapy constraints.

PURPOSE: For ocular melanoma, selecting between stereotactic radiotherapy (SRT) and protons requires...

Individualized structural network deviations predict surgical outcome in mesial temporal lobe epilepsy: a multicentre validation study.

BACKGROUND: Surgical resection is an effective treatment for medically refractory mesial temporal lo...

Automatic titration detection method of organic matter content based on machine vision.

This article proposes an automatic titration algorithm for organic matter content detection based on...