AIMC Topic: Dry Eye Syndromes

Clear Filters Showing 21 to 29 of 29 articles

Ocular Distribution and Pharmacokinetics of Lifitegrast in Pigmented Rabbits and Mass Balance in Beagle Dogs.

Journal of ocular pharmacology and therapeutics : the official journal of the Association for Ocular Pharmacology and Therapeutics Dec 21, 2017
PURPOSE: Lifitegrast is approved in the United States for the treatment of dry eye disease (DED). We assessed lifitegrast's ocular distribution/pharmacokinetic profile in rabbits, and C-lifitegrast mass balance/excretion in dogs.
Dry Eye Syndromes Sulfones Phenylalanine Cornea Administration, Topical Ophthalmic Solutions Animals Female Dogs Rabbits
View on PubMed DOI

[Advancements of artificial intelligence in dry eye].

[Zhonghua yan ke za zhi] Chinese journal of ophthalmology Feb 14, 2025
With the continuous evolution of computer technology and the surging advent of the big data era, artificial intelligence (AI) has already manifested extremely broad application prospects. Medical AI, like a capable assistant, can help doctors make mo...
Artificial Intelligence Dry Eye Syndromes Humans
View on PubMed DOI

[Vigorously advancing the application of AI in the diagnosis and treatment of ocular surface and tear diseases].

[Zhonghua yan ke za zhi] Chinese journal of ophthalmology Feb 14, 2025
Ocular surface and tear diseases are among the most common and significant ocular conditions affecting eye health. In recent years, research and clinical diagnosis and treatment of ocular surface and tear diseases have rapidly developed in China, but...
Humans Eye Diseases Artificial Intelligence Dry Eye Syndromes China Tears
View on PubMed DOI

[Practical Application of Intelligent Vision Measurement System Based on Deep Learning].

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation Jul 30, 2024
To comprehensively assess the true visual function of clinical dry eye patients and the comprehensive impact of blinking characteristics on functional vision of the human eye, an intelligent vision measurement system has been designed and developed t...
Vision, Ocular Blinking Dry Eye Syndromes Humans Deep Learning
View on PubMed DOI

Enhancing Meibography Image Analysis Through Artificial Intelligence-Driven Quantification and Standardization for Dry Eye Research.

Translational vision science & technology Jun 3, 2024
PURPOSE: This study enhances Meibomian gland (MG) infrared image analysis in dry eye (DE) research through artificial intelligence (AI). It is comprised of two main stages: automated eyelid detection and tarsal plate segmentation to standardize meibo...
Male Middle Aged Aged Adult Diagnostic Techniques, Ophthalmological Dry Eye Syndromes Image Processing, Computer-Assisted Infrared Rays Humans Artificial Intelligence Female Meibomian Glands
View on PubMed DOI

Visual analysis of autoimmune dry eye studies based on bibliometrics.

Medicine Nov 24, 2023
BACKGROUND: Dry eye is a chronic ocular surface disease caused by the instability of tear film or the imbalance of the ocular surface microenvironment which can lead to a diverse range of ocular discomfort symptoms. At present, the relevant mechanism...
Eye Bibliometrics Dry Eye Syndromes Quality of Life Humans Artificial Intelligence
View on PubMed DOI

Unsupervised Learning Based on Meibography Enables Subtyping of Dry Eye Disease and Reveals Ocular Surface Features.

Investigative ophthalmology & visual science Oct 3, 2023
PURPOSE: This study aimed to establish an image-based classification that can reveal the clinical characteristics of patients with dry eye using unsupervised learning methods.
Tears Atrophy Dry Eye Syndromes Meibomian Glands Humans Unsupervised Machine Learning
View on PubMed DOI

[Infrared Imaging Meibomian Gland Segmentation System Based on Deep Learning].

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation Jul 30, 2022
In order to better assist doctors in the diagnosis of dry eye and improve the ability of ophthalmologists to recognize the condition of meibomian gland, a meibomian gland image segmentation and enhancement method based on Mobile-U-Net network was pro...
Image Processing, Computer-Assisted Diagnostic Imaging Humans Dry Eye Syndromes Meibomian Glands Deep Learning
View on PubMed DOI

Impact of Incomplete Blinking Analyzed Using a Deep Learning Model With the Keratograph 5M in Dry Eye Disease.

Translational vision science & technology Mar 2, 2022
PURPOSE: To establish a deep learning model (DLM) for blink analysis, and investigate whether blink video frame sampling rate influences the accuracy of analysis.
Eye Humans Blinking Deep Learning Dry Eye Syndromes Tears
View on PubMed DOI
Popular Topics
Recent Journals