AIMC Topic: Anterior Eye Segment
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Keypoint localization and parameter measurement in ultrasound biomicroscopy anterior segment images based on deep learning.
Biomedical engineering online
May 6, 2025
BACKGROUND: Accurate measurement of anterior segment parameters is crucial for diagnosing and managing ophthalmic conditions, such as glaucoma, cataracts, and refractive errors. However, traditional clinical measurement methods are often time-consumi...
Advancements in artificial intelligence for the diagnosis and management of anterior segment diseases.
Current opinion in ophthalmology
Apr 21, 2025
PURPOSE OF REVIEW: The integration of artificial intelligence (AI) in the diagnosis and management of anterior segment diseases has rapidly expanded, demonstrating significant potential to revolutionize clinical practice.
Deep learning by Vision Transformer to classify bacterial and fungal keratitis using different types of anterior segment images.
Computers in biology and medicine
Mar 18, 2025
PURPOSE: To develop three novel Vision Transformer (ViT) frameworks for the specific diagnosis of bacterial and fungal keratitis using different types of anterior segment images and compare their performances.
Detection of Ocular Surface Squamous Neoplasia Using Artificial Intelligence With Anterior Segment Optical Coherence Tomography.
American journal of ophthalmology
Feb 19, 2025
PURPOSE: To develop and validate a deep learning (DL) model to differentiate ocular surface squamous neoplasia (OSSN) from pterygium and pinguecula using high-resolution anterior segment optical coherence tomography (AS-OCT).
Deep Learning
Diagnosis, Differential
Tomography, Optical Coherence
Sensitivity and Specificity
Male
Middle Aged
Conjunctival Neoplasms
Anterior Eye Segment
Corneal Diseases
Pterygium
Humans
Artificial Intelligence
Retrospective Studies
Aged
Aged, 80 and over
Adult
Female
Carcinoma, Squamous Cell
Reproducibility of Results
Artificial intelligence support improves diagnosis accuracy in anterior segment eye diseases.
Scientific reports
Feb 11, 2025
CorneAI, a deep learning model designed for diagnosing cataracts and corneal diseases, was assessed for its impact on ophthalmologists' diagnostic accuracy. In the study, 40 ophthalmologists (20 specialists and 20 residents) classified 100 images, in...
Deep learning-based anterior segment identification and parameter assessment of primary angle closure disease in ultrasound biomicroscopy images.
BMJ open ophthalmology
Jan 20, 2025
PURPOSE: To develop an artificial intelligence algorithm to automatically identify the anterior segment structures and assess multiple parameters of primary angle closure disease (PACD) in ultrasound biomicroscopy (UBM) images.
Creating realistic anterior segment optical coherence tomography images using generative adversarial networks.
The British journal of ophthalmology
Sep 20, 2024
AIMS: To develop a generative adversarial network (GAN) capable of generating realistic high-resolution anterior segment optical coherence tomography (AS-OCT) images.
Analysis of anterior segment in primary angle closure suspect with deep learning models.
BMC medical informatics and decision making
Sep 9, 2024
OBJECTIVE: To analyze primary angle closure suspect (PACS) patients' anatomical characteristics of anterior chamber configuration, and to establish artificial intelligence (AI)-aided diagnostic system for PACS screening.
A Deep Learning Model for Automatically Quantifying the Anterior Segment in Ultrasound Biomicroscopy Images of Implantable Collamer Lens Candidates.
Ultrasound in medicine & biology
May 22, 2024
OBJECTIVE: This study aimed to develop and evaluate a deep learning-based model that could automatically measure anterior segment (AS) parameters on preoperative ultrasound biomicroscopy (UBM) images of implantable Collamer lens (ICL) surgery candida...
Assessment of angle closure disease in the age of artificial intelligence: A review.
Progress in retinal and eye research
Nov 3, 2023
Primary angle closure glaucoma is a visually debilitating disease that is under-detected worldwide. Many of the challenges in managing primary angle closure disease (PACD) are related to the lack of convenient and precise tools for clinic-based disea...
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