Ophthalmology

RE: Generative Artificial Intelligence for Postoperative Parameters Prediction in Implantable Collamer Lens Surgery.

Artificial intelligence-enabled non-invasive cataract diagnosis and grading system using anterior segment images.

nnLoGoNet: a hybrid local-global network for retinal vessel segmentation with Skeleton Recall Loss.

Retinal vessel segmentation is a fundamental task in ophthalmic image analysis, playing a critical role in disease screening and clinical diagnosis. H...

Structural characteristics and evolutionary trajectories of knowledge recombination in the field of AI-driven drug discovery.

The rapid evolution of artificial intelligence (AI) and its profound integration with the pharmaceutical industry essentially constitute a process of ...

Deep feature optimization using fusion of multiple self-supervised learning approaches and filter-based feature selection for lung cancer histopathology classification.

One of the most deadly illnesses in the world is lung cancer, and increasing survival rates require early detection. Lung cancer diagnostics from the ...

Attentional Avoidance of Sexual Cues in Psychogenic Erectile Dysfunction: An Eye-Tracking and Machine Learning Study.

BACKGROUND: Psychogenic erectile dysfunction (pED) is a prevalent male erectile dysfunction without organic causes, and difficulties in erection attai...

Inter-observer variability is unlikely to explain regional differences in retinopathy of prematurity in Norway.

PURPOSE: To test inter-observer variation of plus disease diagnoses among Norwegian ophthalmologists and treatment centres. METHODS: All ophthalmologi...

FaceTrack-AOI: An AI-driven tool for automated dynamic AOI placement and eye movement analysis in face perception studies.

Face perception is fundamental to human social interaction, relying on the dynamic allocation of visual attention to facial features across natural va...

Machine learning identifies pupil size and corneal thickness as key predictors of axial elongation rate.

PURPOSE: This study aimed to develop a machine learning-based prediction model for myopia progression using ocular biometric parameters to provide an ...

Reply to comment on: Prediction of 9 artificial intelligence-based intraocular lens power calculation formulas in long Caucasian eyes.

Neural network architectures and normalization techniques for automated sleep stage classification using rodent EEG and EMG signals.

Accurate sleep stage classification in animal models is crucial for translational sleep research, enabling the study of mechanistic pathways and thera...

Marker-Free, Automated Eyelid Assessment in Thyroid Eye Disease Using Artificial Intelligence: A Multicenter Validation Study.

OBJECTIVE: To validate "Glandy LID," a novel marker-free, deep learning-based software designed for the automated assessment of eyelid morphology usin...

A Datasheet for the INSIGHT Moorfields Cornea Anterior Segment Dataset (CADMUS).

PURPOSE: To describe Cornea Anterior Segment Dataset from Moorfields via INSIGHT (CADMUS), a large multimodal anterior segment imaging dataset develop...

Machine learning classification of cycloplegic refractive status in children and adolescents using non-cycloplegic data across ten provincial-level administrative divisions.

Multimodal clinical-imaging deep learning model for predicting refractory hypersplenism after liver transplantation.

ThyroFusion: A Multi-modal Deep Learning Framework Integrating Vision and Language for Thyroid Nodule Malignancy Risk Assessment.

Accurate differentiation between benign and malignant thyroid nodules remains challenging in clinical practice. Current deep learning approaches predo...

Comment on: Prediction of 9 Artificial Intelligence-based Intraocular Lens Power Calculation Formulas in Long Caucasian Eyes.

Deep Learning and Experimental Validation of BRCA1-Associated Protein-1 Missense Variant Pathogenicity in Uveal Melanoma.

OBJECTIVE: To benchmark the pathogenicity predictions of AlphaMissense, a deep learning model, against high-throughput functional scores from saturati...

AMD-UPerNet: a tool for retinal layer and fluid assessment in age-related macular degeneration.

Automated identification of Retinogeniculate Visual Pathway based on Multiscale Point Cloud Fusion Model Network (MSPF-Net).

The Retinogeniculate Visual Pathway (RGVP) is one of the primary neural pathways responsible for transmitting visual signals from the retina to the la...