MedPath

Intelligent Cataract Screening With Portable Slit-lamp

Conditions
Catarct Screening
Artificial Intelligence
Registration Number
NCT05204095
Lead Sponsor
Sun Yat-sen University
Brief 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.

Detailed Description

Not available

Recruitment & Eligibility

Status
UNKNOWN
Sex
All
Target Recruitment
3000
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

Study Type
OBSERVATIONAL
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
The accuracy of referralBaseline

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.

Secondary Outcome Measures
NameTimeMethod
The accuracy of cataract diagnosisBaseline

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.

Trial Locations

Locations (1)

Zhongshan Ophthalmic Center, Sun Yat-sen Univerisity

🇨🇳

Guangzhou, Guangdong, China

Zhongshan Ophthalmic Center, Sun Yat-sen Univerisity
🇨🇳Guangzhou, Guangdong, China
Haotain Lin, M.D., Ph.D.
Contact
+86-020-87330274
gddlht@aliyun.com
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