AIMC Topic: Slit Lamp Microscopy

Clear Filters Showing 1 to 10 of 15 articles

Deep learning model for extensive smartphone-based diagnosis and triage of cataracts and multiple corneal diseases.

The British journal of ophthalmology Sep 20, 2024
AIM: To develop an artificial intelligence (AI) algorithm that diagnoses cataracts/corneal diseases from multiple conditions using smartphone images.
Humans Algorithms Female Aged Sensitivity and Specificity Smartphone Cataract Triage Corneal Diseases Slit Lamp Microscopy Male Middle Aged Deep Learning ROC Curve
View on PubMed DOI

Use of explainable AI on slit-lamp images of anterior surface of eyes to diagnose allergic conjunctival diseases.

Allergology international : official journal of the Japanese Society of Allergology Aug 17, 2024
BACKGROUND: Artificial intelligence (AI) is a promising new technology that has the potential of diagnosing allergic conjunctival diseases (ACDs). However, its development is slowed by the absence of a tailored image database and explainable AI model...
Male Slit Lamp Microscopy Conjunctivitis, Allergic Slit Lamp Artificial Intelligence Female Adult Humans
View on PubMed DOI

Detecting the corneal neovascularisation area using artificial intelligence.

The British journal of ophthalmology May 21, 2024
AIMS: To create and assess the performance of an artificial intelligence-based image analysis tool for the measurement and quantification of the corneal neovascularisation (CoNV) area.
Humans Neural Networks, Computer Middle Aged Deep Learning Image Processing, Computer-Assisted Corneal Neovascularization Slit Lamp Microscopy Aged Artificial Intelligence Adult Algorithms Cornea Retrospective Studies Male Female
View on PubMed DOI

Automated Measurement and Three-Dimensional Fitting of Corneal Ulcerations and Erosions via AI-Based Image Analysis.

Current eye research Apr 30, 2024
PURPOSE: Artificial intelligence (AI)-tools hold great potential to compensate for missing resources in health-care systems but often fail to be implemented in clinical routine. Intriguingly, no-code and low-code technologies allow clinicians to deve...
Algorithms Female Aged Adult Humans Artificial Intelligence Image Processing, Computer-Assisted Slit Lamp Microscopy Corneal Ulcer Cornea Male Middle Aged Imaging, Three-Dimensional
View on PubMed DOI

Determination of probability of causative pathogen in infectious keratitis using deep learning algorithm of slit-lamp images.

Scientific reports Nov 22, 2021
Corneal opacities are important causes of blindness, and their major etiology is infectious keratitis. Slit-lamp examinations are commonly used to determine the causative pathogen; however, their diagnostic accuracy is low even for experienced ophtha...
Slit Lamp Microscopy Slit Lamp Aged Male Keratitis Middle Aged Probability Diagnostic Techniques, Ophthalmological Corneal Opacity Deep Learning Ophthalmology Humans Algorithms Female Reproducibility of Results
View on PubMed DOI

Differentiation of Active Corneal Infections from Healed Scars Using Deep Learning.

Ophthalmology Aug 2, 2021
PURPOSE: To develop and evaluate an automated, portable algorithm to differentiate active corneal ulcers from healed scars using only external photographs.
Photography Sensitivity and Specificity Slit Lamp Microscopy Deep Learning Corneal Ulcer ROC Curve Humans Eye Infections, Fungal Wound Healing Algorithms Cicatrix Retrospective Studies False Positive Reactions Predictive Value of Tests Eye Infections, Bacterial Area Under Curve
View on PubMed DOI

Dense anatomical annotation of slit-lamp images improves the performance of deep learning for the diagnosis of ophthalmic disorders.

Nature biomedical engineering Jun 22, 2020
The development of artificial intelligence algorithms typically demands abundant high-quality data. In medicine, the datasets that are required to train the algorithms are often collected for a single task, such as image-level classification. Here, w...
Humans Algorithms Prospective Studies Retrospective Studies Image Interpretation, Computer-Assisted Eye Diseases Slit Lamp Microscopy Deep Learning Image Processing, Computer-Assisted
View on PubMed DOI

Objective evaluation of allergic conjunctival disease (with a focus on the application of artificial intelligence technology).

Allergology international : official journal of the Japanese Society of Allergology Jun 17, 2020
We have summarized the past efforts and results of objective measurement methods for conjunctival hyperemia classification. Severity classification using conjunctival blood vessel occupancy rate, ocular surface temperature analysis, and artificial in...
Slit Lamp Microscopy Conjunctivitis, Allergic Humans Artificial Intelligence Severity of Illness Index Hyperemia
View on PubMed DOI

Diagnostic accuracy of diabetic retinopathy grading by an artificial intelligence-enabled algorithm compared with a human standard for wide-field true-colour confocal scanning and standard digital retinal images.

The British journal of ophthalmology May 6, 2020
BACKGROUND: Photographic diabetic retinopathy screening requires labour-intensive grading of retinal images by humans. Automated retinal image analysis software (ARIAS) could provide an alternative to human grading. We compare the performance of an A...
Diagnostic Tests, Routine False Positive Reactions Reference Standards Slit Lamp Microscopy Microscopy, Confocal Predictive Value of Tests Humans Diagnostic Imaging Diabetic Retinopathy Retina Artificial Intelligence Algorithms Sensitivity and Specificity Female Male Cross-Sectional Studies Reproducibility of Results Middle Aged Aged Image Processing, Computer-Assisted Adult
View on PubMed DOI

Predicting the Glaucomatous Central 10-Degree Visual Field From Optical Coherence Tomography Using Deep Learning and Tensor Regression.

American journal of ophthalmology May 6, 2020
PURPOSE: To predict the visual field (VF) of glaucoma patients within the central 10° from optical coherence tomography (OCT) measurements using deep learning and tensor regression.
Glaucoma, Open-Angle Male Adult Gonioscopy Humans Visual Fields Sensitivity and Specificity Middle Aged Slit Lamp Microscopy Retrospective Studies Vision Disorders Visual Field Tests Deep Learning Cross-Sectional Studies Axial Length, Eye Female Tomography, Optical Coherence Optic Nerve Diseases Intraocular Pressure Visual Acuity Aged
View on PubMed DOI
Popular Topics
Recent Journals