A Single-center, Retrospective Study to Evaluate the Clinical Performance of Artificial Intelligence Medical Assisted Diagnostic Software (VeriSee DR) for Screening of Diabetic Retinopathy in Patients With Diabetes Mellitus
NCT04160988 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 703
Last updated 2021-01-29
Summary
This study is to evaluate the clinical performance of VeriSee DR for DR screening from color fundus photography images in patients with diabetes mellitus. The sensitivity and specificity of VeriSee DR's automated image analysis for screening the diabetes retinopathy will be determined.
Conditions
Sponsors & Collaborators
-
National Taiwan University Hospital
collaborator OTHER -
Acer Being Health Inc.
lead INDUSTRY
Eligibility
- Min Age
- 20 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2019-12-16
- Primary Completion
- 2020-01-31
- Completion
- 2020-05-11
Countries
- Taiwan
Study Locations
More Related Trials
-
Computer-based Screening for Diabetic Retinopathy
NCT01614327 ·Status: COMPLETED
-
Camera Qualification Study
NCT05808699 ·Status: ACTIVE_NOT_RECRUITING
-
ARDA Software for the Detection of mtmDR
NCT04905459 ·Status: COMPLETED
-
Pivotal Trial of Automated Artificial Intelligence (AI) Based System for Early Diagnosis of Diabetic Retinopathy
NCT07151001 ·Status: RECRUITING
-
Multimodal Biomarkers in Prediction of Diabetic Retinopathy
NCT07098832 ·Status: NOT_YET_RECRUITING
-
Artificial Intelligence for Diagnosing Diabetic Retinopathy in Primary Care
NCT07236879 ·Status: RECRUITING ·Phase: NA
-
Real-world of AI in Diagnosing Retinal Diseases
NCT05981950 ·Status: RECRUITING
-
Real-world Diagnostic Effectiveness of Artificial Intelligence Algorithm in Diabetic Retinopathy Screening
NCT03911323 ·Status: UNKNOWN
-
Multicenter Diagnostic Clinical Performance Study For Automated Detection of Diabetic Retinopathy
NCT05471986 ·Status: NOT_YET_RECRUITING
-
Comparing Visual Acuity Measurements (How Well You Can See) Using a Standard ETDRS Chart & a Handheld ETDRS Chart
NCT01622816 ·Status: COMPLETED
-
Assessing of Artificial Intelligence-based Software Platform for Diabetic Retinopathy Screening
NCT06879834 ·Status: RECRUITING
-
Multi-modal Imaging and Artificial Intelligence Diagnostic System for Multi-level Clinical Application
NCT03899623 ·Status: UNKNOWN
-
Implementation of an Integrated System of Artificial Intelligence and Referral Tracking for Real-time Diabetic Retinopathy Screening
NCT05166122 ·Status: UNKNOWN ·Phase: NA
-
Efficacy and Safety of AEYE-DS Software Device for Automated Detection of Diabetic Retinopathy From Digital Funduscopic Images
NCT05857943 ·Status: COMPLETED ·Phase: NA
-
10-year Progression of Diabetic Retinopathy: Identification of Signs and Surrogate Outcomes
NCT04650165 ·Status: COMPLETED
-
Efficacy and Safety of AEYE-DS Software Device for Automated Detection of Diabetic Retinopathy From Digital Fundus Images
NCT04612868 ·Status: COMPLETED ·Phase: NA
-
Evaluation of Diabetic Retinopathy Using Ultra-Widefield Fundus Images Compared With Two-Field Fundus Images
NCT05836194 ·Status: COMPLETED
-
Artificial Intelligence (AI) - Assisted Visual Impairment Screening Model: Community-based Implementation and Evaluation of Performance, Feasibility and Costs.
NCT06877988 ·Status: ACTIVE_NOT_RECRUITING ·Phase: NA
-
Evaluation Conducted to Capture Patients With Diabetic Retinopathy in General Practitioners, Using SW as Medical Device
NCT06467903 ·Status: RECRUITING ·Phase: NA
-
RetinaVue Diabetic Screening
NCT03343730 ·Status: UNKNOWN ·Phase: NA
-
Prospective Cohort Study on Predicting the Progression of Diabetic Microangiopathy Using Multimodal Eye Imaging
NCT06727955 ·Status: NOT_YET_RECRUITING
-
AI Classifies Multi-Retinal Diseases
NCT04592068 ·Status: UNKNOWN
-
Assessment of EyeArt Performance With Retinal Cameras
NCT04984200 ·Status: COMPLETED
-
Self-testing Diagnosis Imaging Model for Diabetic Retinopathy
NCT05223556 ·Status: COMPLETED
-
CRYSTALSIGHT: ''Cohort 1.5" Clinical Investigation Study With OCCUTRACK and Tan Tock Seng Eye Clinic to Further Develop Remote Monitoring of Maculopathy at Home Using Artificial Intelligence for Eye Tracking
NCT07255885 ·Status: COMPLETED