Ophthalmology

Advanced vision transformers and open-set learning for robust mosquito classification: A novel approach to entomological studies.

Mosquito-related diseases pose a significant threat to global public health, necessitating efficient...

Glaucoma detection: Binocular approach and clinical data in machine learning.

In this work, we present a multi-modal machine learning method to automate early glaucoma diagnosis....

ItpCtrl-AI: End-to-end interpretable and controllable artificial intelligence by modeling radiologists' intentions.

Using Deep Learning in computer-aided diagnosis systems has been of great interest due to its impres...

Exploring diabetes through the lens of AI and computer vision: Methods and future prospects.

Early diagnosis and timely initiation of treatment plans for diabetes are crucial for ensuring indiv...

Retinal fluid quantification using a novel deep learning algorithm in patients treated with faricimab in the TRUCKEE study.

BACKGROUND: Investigate retinal fluid changes via a novel deep-learning algorithm in real-world pati...

Performance of automated machine learning in detecting fundus diseases based on ophthalmologic B-scan ultrasound images.

AIM: To evaluate the efficacy of automated machine learning (AutoML) models in detecting fundus dise...

Identification of biomarkers and immune microenvironment associated with pterygium through bioinformatics and machine learning.

BACKGROUND: Pterygium is a complex ocular surface disease characterized by the abnormal proliferatio...

Editorial: Predictive and diagnostic approaches for systemic disorders using ocular assessment.

AI-based coral species discrimination: A case study of the Siderastrea Atlantic Complex.

Species delimitation in hard corals remains controversial even after 250+ years of taxonomy. Confusi...

Enhancing automatic sleep stage classification with cerebellar EEG and machine learning techniques.

Sleep disorders have become a significant health concern in modern society. To investigate and diagn...

Integrating Vision and Olfaction via Multi-Modal LLM for Robotic Odor Source Localization.

Odor source localization (OSL) technology allows autonomous agents like mobile robots to localize a ...

Revolutionary drug repositioning: the preventive and therapeutic potential of metformin and other antidiabetic drugs in age-related macular degeneration.

Age-related macular degeneration (AMD) is a leading cause of blindness among the elderly worldwide. ...

Optimization of extraction in supercritical fluids in obtaining seed oil by response surface methodology and artificial neuronal network coupled with a genetic algorithm.

When processing lucuma (), waste such as shells and seeds is generated, which is a source of bioacti...

Translating ophthalmic medical jargon with artificial intelligence: a comparative comprehension study.

OBJECTIVE: Our goal was to evaluate the efficacy of OpenAI's ChatGPT-4.0 large language model (LLM) ...

Prediction of Visual Acuity After Cataract Surgery by Deep Learning Methods Using Clinical Information and Color Fundus Photography.

PURPOSE: To examine the performance of deep-learning models that predicts the visual acuity after ca...

Real-Time Fatigue Detection Algorithms Using Machine Learning for Yawning and Eye State.

Drowsiness while driving is a major factor contributing to traffic accidents, resulting in reduced c...

Enhancing Autism Detection Through Gaze Analysis Using Eye Tracking Sensors and Data Attribution with Distillation in Deep Neural Networks.

Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by differences in soc...

Object-based feedback attention in convolutional neural networks improves tumour detection in digital pathology.

Human visual attention allows prior knowledge or expectations to influence visual processing, alloca...

MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding.

OBJECT: Transformer-based neural networks have been applied to the electroencephalography (EEG) deco...

DualStreamFoveaNet: A Dual Stream Fusion Architecture With Anatomical Awareness for Robust Fovea Localization.

Accurate fovea localization is essential for analyzing retinal diseases to prevent irreversible visi...

Asymmetric Multi-Task Learning for Interpretable Gaze-Driven Grasping Action Forecasting.

This work tackles the automatic prediction of grasping intention of humans observing their environme...