AIMC Topic: Tomography, Optical Coherence

Clear Filters Showing 601 to 610 of 809 articles

Comparative Analysis of Automated vs. Expert-Designed Machine Learning Models in Age-Related Macular Degeneration Detection and Classification.

Turkish journal of ophthalmology Jun 25, 2025
OBJECTIVES: To compare the effectiveness of expert-designed machine learning models and code-free automated machine learning (AutoML) models in classifying optical coherence tomography (OCT) images for detecting age-related macular degeneration (AMD)...
Aged Tomography, Optical Coherence Macular Degeneration Wet Macular Degeneration Humans Machine Learning
View on PubMed DOI

OCT in dermatology: a process for determining whether a fully diversified dataset is needed for AI model-building.

Optics letters Jun 15, 2025
Optical coherence tomography (OCT) has sufficient depth penetration for detection of skin pathologies, but its detection effectiveness can be aided by the assistance of artificial intelligence (AI) modeling. AI model-building identifies pathologies b...
Middle Aged Adolescent Image Processing, Computer-Assisted Tomography, Optical Coherence Humans Young Adult Adult Artificial Intelligence Male Female Aged Aged, 80 and over Skin Dermatology
View on PubMed DOI

Current Applications of Artificial Intelligence for Fuchs Endothelial Corneal Dystrophy: A Systematic Review.

Translational vision science & technology Jun 2, 2025
PURPOSE: Fuchs endothelial corneal dystrophy (FECD) is a common, age-related cause of visual impairment. This systematic review synthesizes evidence from the literature on artificial intelligence (AI) models developed for the diagnosis and management...
Fuchs' Endothelial Dystrophy Humans Artificial Intelligence Tomography, Optical Coherence
View on PubMed DOI

Artificial Intelligence Aided Analysis of Anterior Segment Optical Coherence Tomography Imaging to Monitor the Device-Cornea Joint After Synthetic Cornea Implantation.

Translational vision science & technology Jun 2, 2025
PURPOSE: The purpose of this study was to assess the utility of artificial intelligence (AI) assisted analysis of anterior segment optical coherence tomography (AS-OCT) imaging of the device-cornea joint in predicting outcomes of an intrastromal synt...
Prosthesis Implantation Animals Tomography, Optical Coherence Artificial Intelligence Rabbits Cornea Anterior Eye Segment
View on PubMed DOI

Deep learning-assisted analysis of biomarker changes after increase of dosing from aflibercept 2 mg to 8 mg in therapy-resistant neovascular age-related macular degeneration.

BMJ open ophthalmology Jun 1, 2025
PURPOSE: Age-related macular degeneration (AMD) remains the leading cause of blindness in developed countries. There are many different intravitreal anti-vascular endothelial growth factor (VEGF) drugs available for the treatment of neovascular AMD (...
Humans Receptors, Vascular Endothelial Growth Factor Biomarkers Retrospective Studies Female Aged Aged, 80 and over Visual Acuity Tomography, Optical Coherence Vascular Endothelial Growth Factor A Intravitreal Injections Angiogenesis Inhibitors Fluorescein Angiography Male Treatment Outcome Recombinant Fusion Proteins Middle Aged Follow-Up Studies Wet Macular Degeneration Deep Learning Dose-Response Relationship, Drug
View on PubMed DOI

Predicting response to anti-VEGF therapy in neovascular age-related macular degeneration using random forest and SHAP algorithms.

Photodiagnosis and photodynamic therapy Jun 1, 2025
PURPOSE: This study aimed to establish and validate a prediction model based on machine learning methods and SHAP algorithm to predict response to anti-vascular endothelial growth factor (VEGF) therapy in neovascular age-related macular degeneration ...
Humans Female Aged Aged, 80 and over Male Machine Learning Algorithms Retrospective Studies Wet Macular Degeneration Choroidal Neovascularization Random Forest Middle Aged Vascular Endothelial Growth Factor A Angiogenesis Inhibitors Macular Degeneration Tomography, Optical Coherence Photochemotherapy
View on PubMed DOI

Global-Local Transformer Network for Automatic Retinal Pathological Fluid Segmentation in Optical Coherence Tomography Images.

Computer methods and programs in biomedicine Jun 1, 2025
BACKGROUND AND OBJECTIVE: As a pivotal biomarker, the accurate segmentation of retinal pathological fluid such as intraretinal fluid (IRF), subretinal fluid (SRF), and pigment epithelial detachment (PED), was a critical task for diagnosis and treatme...
Subretinal Fluid Image Processing, Computer-Assisted Humans Tomography, Optical Coherence Neural Networks, Computer Retina Algorithms Retinal Diseases
View on PubMed DOI

GENERATIVE DEEP LEARNING APPROACH TO PREDICT POSTTREATMENT OPTICAL COHERENCE TOMOGRAPHY IMAGES OF AGE-RELATED MACULAR DEGENERATION AFTER 12 MONTHS.

Retina (Philadelphia, Pa.) Jun 1, 2025
PURPOSE: Predicting long-term anatomical responses in neovascular age-related macular degeneration patients is critical for patient-specific management. This study validates a generative deep learning model to predict 12-month posttreatment optical c...
Macula Lutea Ranibizumab Wet Macular Degeneration Vascular Endothelial Growth Factor A Intravitreal Injections Fluorescein Angiography Deep Learning Time Factors Angiogenesis Inhibitors Follow-Up Studies Visual Acuity Tomography, Optical Coherence Fundus Oculi Female Aged Aged, 80 and over Male Humans Retrospective Studies
View on PubMed DOI

Development and validation of a 3-D deep learning system for diabetic macular oedema classification on optical coherence tomography images.

BMJ open May 31, 2025
OBJECTIVES: To develop and validate an automated diabetic macular oedema (DME) classification system based on the images from different three-dimensional optical coherence tomography (3-D OCT) devices.
Aged Cross-Sectional Studies Macular Edema Deep Learning Diabetic Retinopathy Male Middle Aged Humans Imaging, Three-Dimensional Retrospective Studies Tomography, Optical Coherence Female
View on PubMed DOI

MCOA: A Comprehensive Multimodal Dataset for Advancing Deep Learning in Corneal Opacity Assessment.

Scientific data May 30, 2025
Corneal opacity remains a major global cause of vision impairment. Its severity is typically assessed subjectively by clinicians using slit lamp examinations of the anterior segment. While anterior segment optical coherence tomography (AS-OCT) provid...
Humans Deep Learning Cornea Tomography, Optical Coherence Corneal Opacity
View on PubMed DOI
Popular Topics
Recent Journals