Results 21 to 30 of about 2,574 (220)
Clinical and experimental optometryRecent advances in artificial intelligence (AI) have enhanced the capabilities of meibography by enabling objective and quantitative assessment of meibomian gland structure.
Kasandra Swiderska +6 more
semanticscholar +2 more sources
Indian Journal of Ophthalmology, 2023 Purpose: Dry eye disease (DED) is because of a decrease in the tear film's volume or a change in the composition of tears. Evaporative dry eye is the most common type, which is due to meibomian gland dysfunction (MGD).
Vala Mounika +5 more
doaj +2 more sources
Enhancing Meibography Image Analysis Through Artificial Intelligence–Driven Quantification and Standardization for Dry Eye Research [PDF]
Translational Vision Science & TechnologyPurpose 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 ...
Chun-Hsiao Yeh +3 more
semanticscholar +2 more sources
Comparison of Meibomian Gland Loss Between Pediatric Patients with Blepharo-Keratoconjunctivitis and Age-Matched Controls Using Non-Contact Meibography [PDF]
J Clin MedObjectives: To compare the extent of meibomian gland loss in pediatric patients with blepharo-keratoconjunctivitis (BKC), allergic conjunctivitis, and healthy controls using non-contact infrared meibography.
Jeong J, Paik J, Na K, Cho K.
europepmc +2 more sources
Non-contact meibography: Keep it simple but effective
Contact Lens and Anterior Eye, 2011 Meibography is reported to be important in Meibomian Gland Dysfunction (MGD) evaluation. Our purpose was to investigate the usefulness of a standard infra-red video security camera in meibography.Meibographs were taken of the right lower lid of 17 subjects (female 10; age = 44.3 years ±13.3 SD), randomly selected from the patient pool of Horst Riede ...
H, Pult, B H, Riede-Pult
openaire +3 more sources
Differentiation between chalazion and sebaceous carcinoma by noninvasive meibography
Clinical Ophthalmology, 2014 Yuji Nemoto,1 Reiko Arita,2,3 Atsushi Mizota,1 Yuko Sasajima4 1Department of Ophthalmology, Teikyo University School of Medicine, Tokyo, 2Itoh Clinic, Saitama, 3Department of Ophthalmology, The University of Tokyo, Tokyo, 4Department of Pathology ...
Nemoto Y, Arita R, Mizota A, Sasajima Y
doaj +5 more sources
Arquivos Brasileiros de OftalmologiaPurpose To develop a simple, subjective, and reliable grading scale for isotretinoin-induced meibography changes. Methods After analyzing meibography images obtained from systemic isotretinoin users, a grading scale was proposed and named “meibography ...
Fábio Mendonça Xavier Andrade +4 more
semanticscholar +5 more sources
Risk Factors for Meibomian Gland Disease Assessed by Meibography
Clinical Ophthalmology, 2023 Purpose To elucidate risk factors for meibomian gland disease (MGD) and understand associated changes in meibography and in relation to ocular surface disease.
Christine K. Kim +10 more
semanticscholar +5 more sources
Non‐contact meibography in diagnosis and treatment of non‐obvious meibomian gland dysfunction [PDF]
Journal of Optometry, 2012 Meibomian gland dysfunction (MGD) is the most common cause of dry eye and is recommended to be treated by warm and moist compresses followed by lid massage and lid scrub.
Heiko Pult, Britta H. Riede‐Pult
doaj +2 more sources
A machine learning approach to predicting dry eye-related signs, symptoms and diagnoses from meibography images [PDF]
HeliyonPurpose To use artificial intelligence to identify relationships between morphological characteristics of the Meibomian glands (MGs), subject factors, clinical outcomes, and subjective symptoms of dry eye.
Andrew D. Graham +7 more
semanticscholar +2 more sources