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Intelligent Cataract Screening With Portable Slit-lamp (AI)

Sun Yat-sen University logo

Sun Yat-sen University

Status

Unknown

Conditions

Artificial Intelligence
Catarct Screening

Treatments

Device: Portable slit-lamp photography

Study type

Observational

Funder types

Other

Identifiers

NCT05204095
SLCS-2022

Details and patient eligibility

About

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.

Enrollment

3,000 estimated patients

Sex

All

Ages

Under 100 years old

Volunteers

Accepts Healthy Volunteers

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

Trial design

3,000 participants in 2 patient groups

Referral group
Description:
The patients with severe cataracts in this group need a referral to a higher-level hospital for further treatment.
Treatment:
Device: Portable slit-lamp photography
Observation group
Description:
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.
Treatment:
Device: Portable slit-lamp photography

Trial contacts and locations

1

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Central trial contact

Haotian Lin, M.D., Ph.D.

Data sourced from clinicaltrials.gov

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