Ophthalmology

Latest AI and machine learning research in ophthalmology for healthcare professionals.

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Advancing e-waste classification with customizable YOLO based deep learning models.

The burgeoning problem of electronic waste (e-waste) management necessitates sophisticated, efficien...

A Wearable In-Pad Diagnostic for the Detection of Disease Biomarkers in Menstruation Blood.

The pain-free monitoring of blood-based biomarkers is essential for early detection of diseases like...

Advancements in Machine Learning for Precision Diagnostics and Surgical Interventions in Interconnected Musculoskeletal and Visual Systems.

Artificial intelligence (AI) is reshaping precision medicine by revealing diagnostic links between o...

RSF-Conv: Rotation-and-Scale Equivariant Fourier Parameterized Convolution for Retinal Vessel Segmentation.

Retinal vessel segmentation is of great clinical significance for the diagnosis of many eye-related ...

Spatial distribution patterns and formation of global spermatophytes.

The evolution of spermatophytes (seed plants) is relatively well known in their evolutionary relatio...

Large language model-based multimodal system for detecting and grading ocular surface diseases from smartphone images.

BACKGROUND: The development of medical artificial intelligence (AI) models is primarily driven by th...

Revealing 3D microanatomical structures of unlabeled thick cancer tissues using holotomography and virtual H&E staining.

In histopathology, acquiring subcellular-level three-dimensional (3D) tissue structures efficiently ...

iPSC-RPE patch restores photoreceptors and regenerates choriocapillaris in a pig retinal degeneration model.

Dry age-related macular degeneration (AMD) is a leading cause of untreatable vision loss. In advance...

Machine learning-driven prediction of cycloplegic refractive error in Chinese children.

OBJECTIVE: To develop and validate machine learning (ML) models for predicting cycloplegic spherical...

Emergence of human-like attention and distinct head clusters in self-supervised vision transformers: A comparative eye-tracking study.

Visual attention models aim to predict human gaze behavior, yet traditional saliency models and deep...

An Indian annotated weed dataset for computer vision tasks in precision farming.

Weed infestations are the major threat for agriculture sector in India, significantly impacting crop...

Phase recognition in manual Small-Incision cataract surgery with MS-TCN + + on the novel SICS-105 dataset.

Manual Small-Incision Cataract Surgery (SICS) is a prevalent technique in low- and middle-income cou...

Recent advances (2022-2024) in eye-tracking for Parkinson's disease: a promising tool for diagnosing and monitoring symptoms.

INTRODUCTION: Parkinson's disease (PD) is one of the most prevalent neurodegenerative disorders, cha...

Integrating Artificial Intelligence and Precision Therapeutics for Advancing the Diagnosis and Treatment of Age-Related Macular Degeneration.

Age-related macular degeneration (AMD) is a multifactorial retinal disease influenced by complex mol...

Segmentation of Non-Small Cell Lung Carcinomas: Introducing DRU-Net and Multi-Lens Distortion.

The increased workload in pathology laboratories today means automated tools such as artificial inte...

An Artificial Intelligence Method for Phenotyping of OCT-Derived Thickness Maps Using Unsupervised and Self-supervised Deep Learning.

The objective of this study is to enhance the understanding of ophthalmic disease physiology and gen...

Ophthalmic Image Synthesis and Analysis with Generative Adversarial Network Artificial Intelligence.

Generative adversarial networks (GANs), introduced by Ian Goodfellow in 2014, have revolutionized ad...

Improving Ovarian Cancer Subtyping with Computer Vision Models on Tiled Histopathological Images.

Ovarian cancer remains one of the most challenging cancers to diagnose due to its non-specific sympt...

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