Clinical Trials Logo

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.

Clinical Trial Description


Study Design

Related Conditions & MeSH terms

NCT number NCT05204095
Study type Observational
Source Sun Yat-sen University
Contact Haotian Lin, M.D., Ph.D.
Phone +86-020-87330274
Status Not yet recruiting
Start date February 10, 2022
Completion date June 30, 2023

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
Recruiting 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
Not yet recruiting NCT05318599 - Deep Learning Diagnostic and Risk-stratification for IPF and COPD
Not yet recruiting NCT05517889 - Repeatability and Stability of Healthy Skin Features on OCT
Recruiting NCT05006092 - Surveillance Modified by Artificial Intelligence in Endoscopy (SMARTIE) N/A
Completed NCT04816981 - AI-EBUS-Elastography for LN Staging 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 NCT04131530 - Automatic Evaluation of Inflammation Activity in Ulcerative Colitis Using pCLE With Artificial Intelligence
Recruiting NCT04598997 - Artificial Intelligence With DEep Learning on COROnary Microvascular Disease
Completed NCT03622281 - Quality Improvement Intervention in Colonoscopy Using Artificial Intelligence N/A
Recruiting NCT03317691 - The ALERT-Pilot Study N/A
Completed NCT03822390 - Diagnostic Performance of a Convolutional Neural Network for Diminutive Colorectal Polyp Recognition
Recruiting NCT05389839 - Insulin Dose Calculation Software in Insulin Therapy N/A