DART is a technology solution that aims to prevent the most common cause of blindness in adult population, diabetic retinopathy (DR), by means of a platform that detects it automatedly in digital images and allows its early diagnosis via telemedicine. Diagnosis of Automated Retinographies through Telematics.
Near 10% of population suffers from diabetes, and the only way to prevent DR-driven blindness is by an annual eye fundus exam. Due to the lack of ophthalmologists, even in developed countries this exam's coverage falls short of 50%.
Early detection of DR allows to prevent, through timely treatment, vision problems almost totally. Besides, it is estimated that approximately 30% of diabetic patients have DR, which is why there's a significant rate of patients to rule out.
By means of digital images analysis, a remote, massive and automated screening system is proposed to solve the lack of coverage and the bottlenecks of the (public) healthcare systems, while ophthalmologists' capabilities in blindness prevention treatment are better utilized.
The prevalence of diabetes is on the rise. Our goal is that DR coverage is no longer an issue.
DART technology is a platform that provides a software solution aimed at DR detection by automated image processing and web telemedicine. On the patient side, only capture and transmission of retinal images and metadata is required by third parties. This allows massive automated screening of diabetic population to take place, achieving the ability to refer each anomaly risk case to an ophthalmologist, for record, diagnosis and monitoring through the same platform. Implementation is by a computational platform for all the retinal images and context information management, including machine learning algorithms that allow the system to automatically detect retinal abnormalities.
We've published diploma theses of PE in electrical engineering and PE in business engineering, as well as research articles in IEEE Communications Society e-Health Technical Committee Newsletter. We have exhibited our work at national and international level, for instance in the LVIII Course of Training and Development of Ophthalmologists, el XXI Congresso Brasileiro de Prevenção da Cegueira e Reabilitação Visual (with subjects of validation and economic impact), the XXIV Chilean Congress of Ophthalmology and 19th Annual Knowledge-Based and Intelligent Information & Engineering Systems Conference.
Everything starts from the concern for public healthcare challenges. With the proper team, the problem becomes a social innovation project.
Based on academic research, DART gathers in its beginnings Dr. Rodrigo Donoso (H. del Salvador ophthalmologist, U. de Chile academic, Sochiof past-president, fellow at Moorfields Eye Hospital), Mariano Pola (engineer with 30+ years developing technology-based business, Endeavor Chile '99) and José Tomás Arenas (electrical and industrial engineer, MIT TR35 Chile).
We are a multidisciplinary team which features a group of ophthalmologists trained in the best universities of Chile, along with engineers and senior developers: experience in ophthalmology, business, technology and computer science is then conjugated. The team has a highly developed sense of public healthcare and a vision of global innovation.
Our mission is to dramatically reduce rates of vision loss and blindness in adults solving its most common cause: DR screening coverage.
Our main objective is to technologically support eye healthcare system task, optimizing resources and automating processes through pattern recognition (computational intelligence) and telemedicine, impacting the quality of patient care.
Co-Founder, Medical Director
You can review some of our appearances in major writings, digital media and radio. Innovation that got people talking.
Antonia López de Bello 172, office 602, Recoleta, Santiago - 8420477