The Efficacy of an Artificial Intelligence Platform to Adapt Visual Aids for Patients With Low Vision: a Randomised Controlled Trial

Status

UNKNOWN

Phases

Study type

Interventional

Source

ClinicalTrials.gov

Registry ID

NCT04919837

Acronym

Enrollment

200

Registered

2021-06-09

Start date

2020-07-27

Completion date

2021-07-30

Last updated

2021-06-09

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Artificial Intelligence, Low Vision Aids, Ophthalmology

Brief 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.

Interventions

OTHERLow vision aids

the assisting devices fitting for low-vision patients

Study design

Allocation

RANDOMIZED

Intervention model

PARALLEL

Primary purpose

SUPPORTIVE_CARE

Masking

DOUBLE (Subject, Outcomes Assessor)

Eligibility

Sex/Gender

ALL

Age

3 Years to 105 Years

Healthy volunteers

Inclusion criteria

* Low vision Aged 3 to 105

Exclusion criteria

* Severe systemic diseases Failure to sign informed consent or unwilling to participate

Design outcomes

Primary

Measure	Time frame	Description
The proportion of giving up assisting devices	Baseline	The investigator will calculate the proportion of giving up more than one assisting devices in two groups for three months and six months

Secondary

Measure	Time frame	Description
Time cost of using assisting devices of patients	Baseline	The investigator will apply survival analysis for the time cost of using assisting devices in different groups.

Countries

China

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026