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.
Study Type
INTERVENTIONAL
Allocation
NON_RANDOMIZED
Purpose
SCREENING
Masking
NONE
Enrollment
50
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.
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.
Time frame: From enrollment to end of visit 1, estimated 1 hour (One Time Visit)
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.
Time frame: From enrollment to end of visit 1, estimated 1 hour (One Time Visit)
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