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Realworld evaluation of smartphonebased artificial intelligence to screen for diabetic retinopathy in Dominica: a clinical validation study

Diagnostic accuracy of Automated Diabetic Retinopathy Image Assessment Softwares: IDx-DR and Medios-AI

Diagnostic test accuracy of artificial intelligence in screening for referable diabetic retinopathy in realworld settings: A systematic review and metaanalysis

Development and Validation of an Artificial Intelligence based Screening Tool for Detection of Retinopathy of Prematurity (ROP) in a South Indian population

Diabetic Retinopathy Screening Using Smartphone-Based Fundus Photography and Deep-Learning Artificial Intelligence in the Yucatan Peninsula: A Field Study

Improving the Accuracy of Diabetic Screening through Upgrades in Retinal Fundus Cameras Placed at Rural Primary Care Sites in Virginia

Diagnostic test accuracy of artificial intelligence in screening for referable diabetic retinopathy in realworld settings: A systematic review and metaanalysis (preprint)

Diabetes more than retinopathy, it’s effect on the anterior segment of eye

Examining the Role of Telemedicine in Diabetic Retinopathy

Artificial Intelligence for Diabetic Retinopathy Screening Using Color Retinal Photographs: From Development to Deployment

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  • Emergency Departments
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Solutions
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  • Retinal Screening Anywhere
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  • Teleophthalmology & Telehealth
Products
  • Handheld Fundus Camera
  • Portable Digital Slit Lamp
  • Instaref R20
  • InstaZ Automated Fundus Camera
  • InstaKC Handheld Corneal Scanner
  • InstaEyeClinic™ Bag
  • Anterior Imaging Module (AIM)
  • Remidio Connect Cloud Platform
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  • Portable Digital Slit Lamp
  • Instaref R20
  • InstaZ Automated Fundus Camera
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