Using Machine Learning to Adapt Visual Aids for Patients With Low Vision

Artificial Intelligence Clinical Trial

Official title: Using Machine Learning to Adapt Visual Aids for Patients With Low Vision

Status Recruiting

Clinical Trial Summary

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.

Clinical Trial Description

n/a

Related Conditions & MeSH terms

• Artificial Intelligence
• Low Vision Aids
• Ophthalmology
• Vision, Low

• NCT number: NCT04892316
• Study type: Observational
• Source: Sun Yat-sen University
• Contact: Jianmin Hu, M.D., Ph.D.
• Phone: +8615359595888
• Email: doctorhjm@163.com
• Status: Recruiting
• Start date: July 27, 2020
• Completion date: December 27, 2021