AI Medical Compendium Topic

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Eyelid Diseases

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Characterization of expressed human meibum using hyperspectral stimulated Raman scattering microscopy.

The ocular surface
PURPOSE: This study examined whether hyperspectral stimulated Raman scattering (hsSRS) microscopy can detect differences in meibum lipid to protein composition of normal and evaporative dry eye subjects with meibomian gland dysfunction.

Automated quantification of meibomian gland dropout in infrared meibography using deep learning.

The ocular surface
PURPOSE: Develop a deep learning-based automated method to segment meibomian glands (MG) and eyelids, quantitatively analyze the MG area and MG ratio, estimate the meiboscore, and remove specular reflections from infrared images.

A deep learning model established for evaluating lid margin signs with colour anterior segment photography.

Eye (London, England)
OBJECTIVES: To evaluate the feasibility of applying a deep learning model to identify lid margin signs from colour anterior segment photography.

Automatic identification of meibomian gland dysfunction with meibography images using deep learning.

International ophthalmology
BACKGROUND: Artificial intelligence is developing rapidly, bringing increasing numbers of intelligent products into daily life. However, it has little progress in dry eye, which is a common disease and associated with meibomian gland dysfunction (MGD...

Application of artificial intelligence in oculoplastics.

Clinics in dermatology
Oculoplastics is a subspecialty of ophthalmology/dermatology concerned with eyelid, orbital, and lacrimal diseases. Artificial intelligence (AI), with its powerful ability to analyze large data sets, has dramatically benefited oculoplastics. The cutt...

Assessing the proficiency of artificial intelligence programs in the diagnosis and treatment of cornea, conjunctiva, and eyelid diseases and exploring the advantages of each other benefits.

Contact lens & anterior eye : the journal of the British Contact Lens Association
PURPOSE: It was aimed to determine the knowledge level of ChatGPT, Bing, and Bard artificial intelligence programs related to corneal, conjunctival, and eyelid diseases and treatment modalities, to examine their reliability and superiority to each ot...