An observational study in Ophthalmology, Artificial Intelligence and Low Vision Aids, sponsored by Sun Yat-sen University. Status unknown at 1 site in China. Open to participants aged 3 Years to 105 Years. Per ClinicalTrials.gov, last updated 2021-05-20.
Sponsored by Sun Yat-sen University · Observational
According to the WHO's definition of visual impairment, as of 2018, there were approximately 1.3 billion people with visual impairment in the world, and only 10% of countries can provide assisting services for the rehabilitation of visual impairment. Although China is one of the countries that can provide rehabilitation services for patients with visual impairment, due to restrictions on the number of professionals in various regions, uneven diagnosis and treatment, and regional differences in economic conditions, not all visually impaired patients can get the rehabilitation of assisting device fitting.
Traditional statistical methods were not enough to solve the problem of intelligent fitting of assisting devices. At present, there are almost no intelligent fitting models of assisting devices in the world. Therefore, in order to allow more low-vision patients to receive accurate and rapid rehabilitation services, we conducted a cross-sectional study on the assisting devices fitting for low-vision patients in Fujian Province, China in the past five years, and at the same time constructed a machine learning model to intelligently predict the adaptation result of the basic assisting devices for low vision patients.
214 studies on the registry are indexed under Vision, Low; 41 are open to participants now.
This study's planned enrollment of 400 is above the median of 141 across 51 observational studies indexed under Vision, Low.
Browse Vision, Low studies →Sun Yat-sen University is the lead sponsor of 1,644 studies on the registry; 602 are open to participants now.
Counted across the registry records on this site, refreshed daily.
Visually disabled patients were referred by the Town Disability Federation in Fujian Province and Guangdong Province
Exclusion Criteria:
Patients receive assisting devices fitting services from junior doctors
Diagnostic Test: Diagnostic test
Patients receive assisting devices fitting services from senior doctors
Diagnostic Test: Diagnostic test
Patients receive assisting devices fitting services from junior doctors assisted by the machine learning model
Diagnostic Test: Diagnostic test
The training dataset was used to train the model, which was validated and tested by the other two datasets.
Accuracy of fitting results for assisting devices
The investigator will calculate the accuracy of fitting results for assisting devices in different group according to the ground truth.
Time frame: baseline
Time cost for fitting assisting devices
The investigator will calculate time cost for fitting assisting devices in different group.
Time frame: baseline
This study is status unknown, as verified in May 2021. You cannot join it, but the record below documents what was studied.
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Sun Yat-sen University