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Expert consensus on classification and annotation methods, processes, and quality control for dry eye imaging in artificial intelligence applications

06.03.26 | Intelligent Medicine

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Standardized meibomian gland annotation methods improve AI-ready dry eye imaging analysis and diagnosis
Standardized annotation strategies for meibomian gland imaging include gland segmentation, overall gland mapping, ghost gland exclusion, and tortuosity assessment. These methods improve annotation consistency, reduce labeling errors, and support the development of reliable AI-assisted dry eye diagnostic systems. Credit: Intelligent Medicine. Image source link: https://www.sciencedirect.com/science/article/pii/S2667102625001378

Reference

Title of original paper: Expert consensus on classification and annotation methods, processes, and quality control for dry eye imaging in artificial intelligence applications (2025)

Journal: Intelligent Medicine

DOI: 10.1016/j.imed.2025.05.012

Intelligent Medicine

10.1016/j.imed.2025.05.012

Expert consensus on classification and annotation methods, processes, and quality control for dry eye imaging in artificial intelligence applications (2025)

Keywords

Artificial Intelligence Clinical Imaging Diagnostic Imaging Diseases and Disorders Health and Medicine Health Care Human Health Medical Diagnosis Medical Technology Vision Disorders

Article Information

Journal
Intelligent Medicine
DOI
10.1016/j.imed.2025.05.012
Article Title
Expert consensus on classification and annotation methods, processes, and quality control for dry eye imaging in artificial intelligence applications (2025)

Contact Information

Editorial Office
Intelligent Medicine
im@cmaph.org

How to Cite This Article

APA:
Intelligent Medicine. (2026, June 3). Expert consensus on classification and annotation methods, processes, and quality control for dry eye imaging in artificial intelligence applications. Brightsurf News. https://www.brightsurf.com/news/L3RP4Q08/expert-consensus-on-classification-and-annotation-methods-processes-and-quality-control-for-dry-eye-imaging-in-artificial-intelligence-applications.html
MLA:
"Expert consensus on classification and annotation methods, processes, and quality control for dry eye imaging in artificial intelligence applications." Brightsurf News, Jun. 3 2026, https://www.brightsurf.com/news/L3RP4Q08/expert-consensus-on-classification-and-annotation-methods-processes-and-quality-control-for-dry-eye-imaging-in-artificial-intelligence-applications.html.