Clinical Trials Logo
  1. Home
  2. Artificial Intelligence
  3. NCT05204095
  4. Details
NCT05204095 Clinical Trial

Intelligent Cataract Screening With Portable Slit-lamp

Artificial Intelligence Clinical Trial

— AI  

Official title:
Intelligent Cataract Screening With Portable Slit-lamp

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
See also
  Status Clinical Trial Phase
Completed NCT04589078 - Polyp REcognition Assisted by a Device Interactive Characterization Tool - The PREDICT Study
Completed NCT03857438 - Correlation of Audiovisual Features With Clinical Variables and Neurocognitive Functions in Bipolar Disorder, Mania
Completed NCT04735055 - Artificial Intelligence Prediction for the Severity of Acute Pancreatitis
Not yet recruiting NCT05452993 - Screening for Diabetic Retinopathy in Pharmacies With Artificial Intelligence Enhanced Retinophotography N/A
Not yet recruiting NCT04337229 - Evaluation of Comfort Behavior Levels of Newborns With Artificial Intelligence Techniques N/A
Completed NCT05687318 - A Clinical Trial of the Effectiveness and Safety of Software Assisting Diagnose the Intestinal Polyp Digestive Endoscopy by Analysis of Colonoscopy Medical Images From Electronic Digestive Endoscopy Equipment N/A
Recruiting NCT06051682 - Optimization of the Diagnosis of Bone Fractures in Patients Treated in the Emergency Department by Using Artificial Intelligence for Reading Radiological Images in Comparison With Traditional Reading by the Emergency Doctor. N/A
Not yet recruiting NCT06039917 - Effect of the Automatic Surveillance System on Surveillance Rate of Patients With Gastric Premalignant Lesions N/A
Not yet recruiting NCT06362629 - AI App for Management of Atopic Dermatitis N/A
Recruiting NCT06059378 - Real-life Implementation of an AI-based Optical Diagnosis N/A
Recruiting NCT06164002 - A I in the Prediction of Clinical Performance, Marginal Fit and Fracture Resistance of Vertical Versus Horizontal Margin Designs Fabricated With 2 Ceramic Materials N/A
Completed NCT05517889 - Repeatability and Stability of Healthy Skin Features on OCT
Completed NCT04816981 - AI-EBUS-Elastography for LN Staging N/A
Completed NCT05006092 - Surveillance Modified by Artificial Intelligence in Endoscopy (SMARTIE) N/A
Recruiting NCT04535466 - Diagnosis Predictive Modle for Dense Density Breast Tissue Based on Radiomics
Enrolling by invitation NCT04719117 - Retrograde Cholangiopancreatography AI Assisted System Validation on Effectiveness and Safety
Completed NCT04399590 - Comparing the Number of False Activations Between Two Artificial Intelligence CADe Systems: the NOISE Study
Recruiting NCT04126265 - Artificial Intelligence-assisted Colonoscopy for Detection of Colon Polyps N/A
Recruiting NCT06255808 - Development of Assist Tool for Breast Examination Using the Principle of Ultrasonic Sensor
Recruiting NCT04131530 - Automatic Evaluation of Inflammation Activity in Ulcerative Colitis Using pCLE With Artificial Intelligence