Ophthalmology

Chemotherapy-Sparing Strategies in Follicular Lymphoma: Emerging Targeted and Immune-Based Approaches.

Follicular lymphoma (FL), traditionally considered an indolent yet incurable malignancy, is experiencing a substantial evolution in its therapeutic landscape with the emergence of chemo-free treatment strategies. These novel approaches challenge conventional chemotherapy-based paradigms and offer promising alternatives for both newly diagnosed and relapsed/refractory (RR) FL patients. Among these ...

Machine Learning Photodynamics Unveils a Controlled H2 Loss Channel in the Methaniminium Cation.

The methaniminium cation, CH2NH2+, plays an important role in Titan's N2-CH4 atmospheric chemistry. As the simplest protonated Schiff base (PSB), it also serves as a model for studying the nonadiabatic dynamics of the retinal PSB, the chromophore central to vertebrate vision. While previous studies have established CN bond cleavage and photoisomerization as the primary pathways in the photochemist...

Machine learning-based diagnosis of autism spectrum disorder in children and adolescents using eye-tracking data: a systematic review and meta-analysis.

OBJECTIVE: Eye-tracking technology has been increasingly investigated as an objective approach for distinguishing individuals with Autism Spectrum Dis...

Elevated Retinal Neovascularization on Widefield Optical Coherence Tomography Angiography Predicts Complications in High-Risk Proliferative Diabetic Retinopathy.

PURPOSE: To determine whether retinal neovascularization (RNV) metrics derived from single-shot widefield swept-source OCT angiography (SS-OCTA) predi...

Quantitative measurement of Iris melanin concentration by polarization-sensitive anterior segment optical coherence tomography.

PurposeThis study aimed to evaluate iris melanin concentration using polarization-sensitive anterior segment optical coherence tomography (PS-AS-OCT) ...

Development of a microscopy-based diagnostic test for alkali injury-induced limbal stem cell deficiency through Autofluorescence Multispectral Imaging.

Diagnosing limbal stem cell deficiency (LSCD) remains challenging, and this study evaluates a newly developed Autofluorescence Multispectral Imaging (...

Ethical challenges and opportunities for integrating predictive analytics in community-based overdose prevention.

As predictive analytics become more widely integrated into local public health responses to the United States overdose epidemic, community-based subst...

A new approach in autism diagnosis: Evaluating natural interaction using point of view (POV) glasses.

This study introduces an AI-assisted method based on examiner-worn Point of View (POV) glasses and computer vision analysis to provide objective behav...

Are we ready to tackle perceptual segmentation of natural scenes?

Processes of perceptual segmentation and integration (PSI) are fundamental to perceptual organization. Although PSI of visual stimuli has been studied...

Interpreting Imaging in the Era of Artificial Intelligence: Future Possibilities in Ocular Inflammatory Disease.

PURPOSE: Uveitis encompasses a heterogeneous group of ocular inflammatory diseases with a high risk of permanent vision loss. Accurate diagnosis and d...

Functional connectivity and graphical topological properties of the visual cortical network of minimally conscious state (MCS) patients.

The Minimally Conscious State (MCS) is a condition in which a patient, following a brain injury, exhibits minimal yet definite behavioral evidence of ...

Contemporary Applications of Robotic Systems in Dental Implantology: A Review.

The integration of robotics into dental implantology represents a transformative shift towards enhanced surgical precision, consistency, and reproduci...

DTG: Dual transformers-based generative adversarial networks for retinal 2D/3D OCT image classification.

The automated identification of retinal disorders is one of the most popular real-world computer vision applications related to ophthalmology. It has ...

Convolutional Graph Isomorphism Network to Detect Glaucomatous Visual Field Defects.

PURPOSE: To evaluate the performance of a deep learning (DL) model based on graph isomorphism networks (GINs) for detecting glaucomatous visual field ...

Federated Learning for Multi-Disease Ophthalmic Diagnostics Using OCT Angiography.

PURPOSE: To conduct a comprehensive systematic evaluation of federated learning (FL) strategies for multi-disease retinal classification using OCT ang...

Development of Digital Literacy: Application of Artificial Intelligence in Education and Clinical Practice of Oncology Nurses.

OBJECTIVES: To synthesize current educational approaches to AI literacy in oncology nursing, identify key competency domains along with barriers and e...

Pigment epithelial detachment as a biomarker for faricimab treatment outcomes in naïve neovascular age-related macular degeneration.

ObjectiveTo assess baseline pigment epithelial detachment (PED) and other OCT biomarkers for predicting response to faricimab in treatment-naïve patie...

ReticularNet: Automated Pixel-Level Segmentation of Reticular Pseudodrusen on Near-Infrared Reflectance Images by Deep Learning.

OBJECTIVE: Reticular pseudodrusen (RPD) represent an important biomarker in age-related macular degeneration (AMD) but are difficult to grade and ofte...

Automated Feature Segmentation of Ultra-Widefield OCT Images.

OBJECTIVE OR PURPOSE: To develop a lightweight neural network for automated cross-sectional and en face segmentation of ultra-widefield (UWF) OCT imag...

Adaptive visual selection: Predictive control of visual attention.

Visual prioritization has traditionally been explained through stimulus-driven salience. However, emerging evidence from neuroscience and computationa...