Intelligent Cataract Screening With Portable Slit-lamp
- Conditions
- Catarct ScreeningArtificial Intelligence
- Interventions
- Device: Portable slit-lamp photography
- 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
- 0 to 100 years old
- (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
- Arm && Interventions
Group Intervention Description Referral group Portable slit-lamp photography The patients with severe cataracts in this group need a referral to a higher-level hospital for further treatment. Observation group Portable slit-lamp photography The patients with mild cataracts or transparent lenses in this group do not need a referral to a higher-level hospital for further treatment and keep regular examinations.
- Primary Outcome Measures
Name Time Method The accuracy of referral Baseline 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
Name Time Method The accuracy of cataract diagnosis Baseline 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