Dry eye disease (DED) is a common eye condition that is becoming more widespread. Detecting it early, keeping track of its progression, and following up regularly can help protect vision and prevent serious complications. However, due to a shortage of ophthalmologists, limited access to eye care services, and disparities in care quality, many patients receive infrequent or insufficient clinical consultations.
To address these needs, a portable automatic ocular surface imaging device (PAOSID) that attaches to a mobile phone has been developed. This device uses three types of light including white, infrared, and cobalt blue light to capture clear images and videos of the eye's surface.
It also has a smart system that automatically takes high-quality images, allowing patients to use it at home independently. This device may help detect early signs of DED and monitor eye health more easily.
Participants diagnosed as DED by experienced ophthalmologists, based on the TFOS DEWS II (The Tear Film and Ocular Surface Society Dry Eye Workshop II) guidelines,(19) as well as healthy individuals with no ocular conditions who voluntarily agreed to participate in the study;
Participants, or their companions or caregivers, who are willing and able to use the study smartphone to capture relevant eye images and videos;
Aged 21 years or older;
Provide informed consent.
Participants with ocular surface disorders other than DED that may affect the appearance of the ocular surface (e.g., pterygium, keratitis, corneal scarring) or with any organic pathologies impacting vision (e.g., cataracts, glaucoma, retinal diseases).
Patients currently wearing scleral lenses or bandage contact lenses.
Significant changes in the ocular images since diagnosis due to factors such as postdiagnostic treatment;
Unable to cooperate with the PAOSID, such as due to a serious mental illness or brain damage causing loss of limb control;
Single group
Dr Eye
Diagnostic testPortable automatic ocular surface imaging device (PAOSID) that attaches to a mobile phone has been developed. This device uses three types of light including white, infrared, and cobalt blue light to capture clear images and videos of the eye's surface. It also has a smart system that automatically takes high-quality images, allowing patients to use it at home independently. This device may help detect early signs of DED and monitor eye health more easily.
The primary objective is to study the diagnostic accuracy of remote Dry Eye Disease (DED) diagnosis using a portable automatic ocular surface imaging device (PAOSID), as compared with standard clinical DED diagnosis.
The secondary objectives: diagnostic consistency of remote Dry Eye Disease (DED) diagnosis using a portable automatic ocular surface imaging device (PAOSID), as compared with standard clinical DED diagnosis.
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Singapore National Eye Centre
Lead sponsor
The Eye Hospital of Wenzhou Medical University
Collaborator
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