AI and Ocular Imaging

TOPICAL COLLECTIONS

Guest Editor

Mashael Al-Namaeh

Eye Research Center, Willington, DE

Dr. Mashael Al-Namaeh earned her Doctor of Optometry degree and her PhD from Salus University. She began her academic career as a faculty member at Tusculum University in Greenville, Tennessee, USA. She is currently working as an adjunct professor at the Oulu University of Applied Sciences, Optometry Department, Finland, Europe. Dr. Al-Namaeh is a regular member of the grant review panels for a national organization. She is a committee member of various national organizations in her field. She has been invited as a reviewer for several international and national journals. She has also been invited as a guest speaker at various national and international conferences. She is a part of the Editorial Board of a national journal and is well-published author. She has co-authored poster presentations, and several peer-reviewed articles related to her field

Collection Overview

Artificial Intelligence (AI) strategies in ocular imaging research have enormous potential to address the global challenge of meeting the increasing demand for ocular care. Recent advances in machine learning and computational technology have prepared the path for AI strategies to enable the development of novel methodologies for the rapid and effective identification of undiagnosed ocular diseases, as well as the detection of clinically relevant progression of ocular diseases such as glaucoma, dry eye syndrome and keratoconus, in existing patients. This JoVE Methods Collection will explore how artificial intelligence (AI) strategies based on ocular imaging are used to diagnose and detect ocular diseases.