Validation of the Utility of Ophthalmology Intelligent Diagnostic System

Status Completed

Clinical Trial Summary

The prevention and treatment of diseases via artificial intelligence represents an ultimate goal in computational medicine. Application scenarios of the current medical algorithms are too simple to be generally applied to real-world complex clinical settings. Here, the investigators use "deep learning" and "visionome technique", an novel annotation method for artificial intelligence in medical, to create an automatic detection and classification system for four key clinical scenarios: 1) mass screening, 2) comprehensive clinical triage, 3) hyperfine diagnostic assessment, and 4) multi-path treatment planning. The investigator also establish a telemedicine system and conduct clinical trial and website-based study to validate its versatility.

Clinical Trial Description

n/a

Study Design

Related Conditions & MeSH terms

Clinical Trial Details

NCT number	NCT03499145
Study type	Observational
Source	Sun Yat-sen University
Contact
Status	Completed
Phase
Start date	April 1, 2018
Completion date	August 31, 2019

View Details

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	`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
Recruiting	`NCT06059378` - Real-life Implementation of an AI-based Optical Diagnosis	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