Back to Observatory
DART
DART is an artificial intelligence (AI) solution that has the goal of preventing the most common cause of sight loss and blindness in the working age population, diabetic retinopathy (DR). DART seeks to reduce the population´s blindness rates by improving access to preventive examination in order to detect the signs of the disease in its initial stages.
Description of the service
DART is a teleophthalmology platform with an AI solution that aims to prevent the most common cause of vision loss and blindness in the working-age population: diabetic retinopathy. DART seeks to reduce population blindness rates by improving access to preventive healthcare to detect early signs of the disease.
Problem that it solves
Diabetes-related vision loss and blindness, its consequences on people's quality of life, the associated costs to public and private healthcare systems, and the efficiency of healthcare providers' use of resources
Type of AI app used
All of the above
Main results to June 30, 2021
DART supports more than 200,000 diabetics/year to have timely access to their fundus examination report to prevent complications related to diabetic retinopathy.
Three main bottlenecks faced during implementation
- Cultural resistance
- Leveraging project efficiencies
- Communicating the scope of the project
Lessons learned in the design or use of AI for social impact
- A change-resistance mitigation strategy should be in place to increase, rather than replace, the available capabilities
- Clinical full-scale environment results can differ significantly from laboratory results.
Country of origin
Geographic scope of operations
Chile, Brasil, México, Colombia, Perú.
Website
https://www.teledx.org/Type of executing entity
StartupSector/industry
Sustainable Development Goal(s) to which your AI solution contributes
1 (no poverty), 3 (good health and well-being), 8 (decent work and economic growth), 9 (industry, innovation, and infrastructure), 10 (reduced inequalities)
IA app developed internally or by a third party
Internally
Name of implementing entity
TeleDx
Stakeholders involved
Ministry of Health of Chile, Corfo, Chile Government Laboratory, Start-Up Chile.
Percentage of the development team that are women
0%
Year they started using AI-based models
2012It may interest you
Responsible and Widespread Adoption of Artificial Intelligence in Latin America and the Caribbean
Este MOOC aborda los conceptos, principios, desafíos y oportunidades del uso ético y responsable de la inteligencia artificial (IA) para el sector público.
