Artificial Intelligence Clinical Trial
— AIOfficial title:
The Efficacy of an Artificial Intelligence Platform to Adapt Visual Aids for Patients With Low Vision: a Randomised Controlled Trial
Verified date | June 2021 |
Source | Sun Yat-sen University |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
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.
Status | Recruiting |
Enrollment | 200 |
Est. completion date | July 30, 2021 |
Est. primary completion date | July 27, 2021 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 3 Years to 105 Years |
Eligibility | Inclusion Criteria: - Low vision Aged 3 to 105 Exclusion Criteria: - Severe systemic diseases Failure to sign informed consent or unwilling to participate |
Country | Name | City | State |
---|---|---|---|
China | 2nd Affilliated Hospital of Jujian Medical University | Quanzhou | Fujian |
Lead Sponsor | Collaborator |
---|---|
Sun Yat-sen University | 2nd Affilliated Hospital of Fujian Medical University |
China,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | The proportion of giving up assisting devices | The investigator will calculate the proportion of giving up more than one assisting devices in two groups for three months and six months | Baseline | |
Secondary | Time cost of using assisting devices of patients | The investigator will apply survival analysis for the time cost of using assisting devices in different groups. | Baseline |
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