Artificial Intelligence, Catarct Screening
Conditions
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.
Interventions
DEVICEPortable slit-lamp photography
The enrolled patients will undergo portable slit-lamp photography with and without mydriasis and receive traditional slit-lamp photography for comparison.
Sponsors
Sun Yat-sen University
Study design
Observational model
CASE_CONTROL
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
No minimum to 100 Years
Healthy volunteers
Yes
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
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| 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
| Measure | Time frame | Description |
|---|---|---|
| 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. |
Countries
China
Contacts
Primary ContactHaotian Lin, M.D., Ph.D.
Outcome results
None listed