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Clinical Trial Details — Status: Not yet recruiting

Administrative data

NCT number NCT05204095
Other study ID # SLCS-2022
Secondary ID
Status Not yet recruiting
Phase
First received
Last updated
Start date February 10, 2022
Est. completion date June 30, 2023

Study information

Verified date January 2022
Source Sun Yat-sen University
Contact Haotian Lin, M.D., Ph.D.
Phone +86-020-87330274
Email gddlht@aliyun.com
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

Based on the portable slit-lamp connected to the smartphone, the artificial intelligence machine learning algorithm is used to establish a cataract screening model by prospectively collecting the anterior segment photographic data, and a portable slit lamp intelligent screening referral model based on the smartphone connection is also established.


Recruitment information / eligibility

Status Not yet recruiting
Enrollment 3000
Est. completion date June 30, 2023
Est. primary completion date June 30, 2023
Accepts healthy volunteers Accepts Healthy Volunteers
Gender All
Age group N/A to 100 Years
Eligibility Inclusion Criteria: - 0 to 100 years old Exclusion Criteria: - (1) History of eye disease except for age-related cataracts (2) History of eye trauma or eye surgery (3) Unable to cooperate with ophthalmology and general examination (4) Individuals with incomplete information (5) Unwilling to participate in this study

Study Design


Related Conditions & MeSH terms


Intervention

Device:
Portable slit-lamp photography
The enrolled patients will undergo portable slit-lamp photography with and without mydriasis and receive traditional slit-lamp photography for comparison.

Locations

Country Name City State
China Zhongshan Ophthalmic Center, Sun Yat-sen Univerisity Guangzhou Guangdong

Sponsors (1)

Lead Sponsor Collaborator
Sun Yat-sen University

Country where clinical trial is conducted

China, 

Outcome

Type Measure Description Time frame Safety issue
Primary The accuracy of referral The accuracy of referral of AI model will be calculated with the decisions based on the portable slit-lamp images with reference to the ground truth. Baseline
Secondary The accuracy of cataract diagnosis The accuracy of cataract diagnosis of AI model will be calculated with the decisions based on the portable slit-lamp images with reference to the ground truth. Baseline
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