Dr. Meng C. Lin

 

Speaker：

Dr. Meng C. Lin

Institution：

University of California, Berkeley, School of Optometry Clinical Research Center

UC Berkeley Dry Eye Clinic

 

Position：

Director, UC Berkeley Clinical Research Center (CRC)

Co-Chief, Dry Eye Clinic

Presentation Title：

Artificial Intelligence Provides Deeper Understanding of Meibomian Gland Features

 

Abstract：

This presentation discusses how Artificial Intelligence (AI) can be leveraged as a critical tool to go deeper into data for uncovering novel findings.  A deep learning approach for Meibomian gland features is applied for gland phenotyping and classification.  Results from the recent studies conducted at the UC Berkeley Clinical Research Center are presented to shed lights about what clinical signs and symptoms can be predicted by machine learning-driven Meibomian gland features and how AI approach predicts demographic characteristics from Meibomian gland images.  Knowledge gained from these studies may be relevant to the pediatric group for providing guidance to healthy ocular surface necessary for longevity of successful contact lens wear. Finally, a potential of meibography as biometric identifier and the capabilities of AI to disclose subject characteristics from de-identified medical imaging are also discussed.