Automated DR Screening
Any primary care unit, optometrist or diabetologist can use retinar to automatically detect referrable diabetic retinopathy cases using our AI tool.
retinar
artificial intelligence and distributed telemedicine for computer-aided diagnosis of diabetic retinopathy
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Earlier Diagnostics
Trained technicians take fundus pictures from patients anywhere, without ophthalmologists in place. retinar AI software automatically detects signs of vision threatening diabetic retinopathy to communicate the diagnosis to the patient.
Better Reports
Referrable cases are automatically sent to certified experts to be further revised and to confirm the diagnosis. retinar AI tool aids these clinicians to carefully examine each picture they get, yielding more accurate reports in less time.
Faster Treatment
Patients with referrable cases confirmed by the experts are automatically assisted by retinar, getting recommendations about the closest clinics and medical centers that can treat their pathology.
Preventing Blindness
Diabetic Retinopathy: the leading cause of blindness in working age adults
Diabetic mellitus is a pandemic that affects around 8.5% of the world’s adult populations. Every person with diabetes is at risk of developing diabetic retinopathy (DR). Approximately 1 in 3 people with diabetes have some degree of DR, and 1 in 10 will develop a vision threatening form of the disease.
Artificial intelligence to prevent blindness
Our team of data scientists develops cutting edge AI tools that aid clinicians to diagnose eye diseases.
Contact Us!Our Services
A Platform for Remote Reading
Certified retina experts can read images remotely and on-demand using our platform, allowing them to reach more patients without moving from their place.
Computer-assisted Diagnosis
Our AI technology aids ophthalmologists to increase their throughput analyzing fundus pictures, bringing efficiency to the reading process.
AI Assisted Fundus Image Acquisition
With a minimum training, any technician can use our AI support to get high quality fundus pictures, reducing costs and ensuring better diagnostics.
Networks for Treatment
Any clinic and/or treatment specialist can register in our platform to be recommended by retinar to patients in need.
Logistic Solutions to Patients
Patients no longer need to search clinics for treatment by themselves. retinar recommends the closest health centers to start the treatment right away.
The right diagnosis. Everywhere. Anytime.
retinar aids patients around the world to access to accurate diagnostics regardless of the regional availability of ophthalmologists.
Fundus image based
Our platform is entirely based on fundus photographs, a non-invasive & cost-effective medical imaging technique that can be easily captured by trained technicians.
AI based instant referral
Our AI can determine in-place and with high accuracy if the patient needs referral to an ophthalmologist. In that case, the image is transferred to be analyzed by retina experts.
Connecting professionals
retinar allows any certified expert in retina to join as a reader. Using AI, we aid them to produce better reports and to connect rapidly with patients that need treatment.
Treatment recommendations
We provide patients at risk with recommendations of hospitals and clinics close to their living places, reducing logistics costs & bringing rapid treatment to prevent blindness.
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Contact Details
retinar is an ungoing project and we’re very excited to make it happen! If you want to know more or you want to join our multidisciplinary team of clinicians and computer scientists, feel free to contact us!
PLADEMA, Campus Universitario UNICEN, Tandil, BA, Argentina
Phone: +54-249-438-5690 (Int. 2411)
Fax: +54-249-438-5690
Email: [email protected]
Latest News
Funding from Agencia I+D+i (Argentina) for retinar
We received funding through the 2021 call for PICT start-ups from Agencia Nacional para la Promoción de la Investigación, el Desarrollo Científico y la Innovación (Agencia I+D+i) to fund our research in retinar, under the supervision of Dr.
Read moreretinar was awarded by NVIDIA Corporation
retinar was selected as member of the NVIDIA Applied Research Accelerator Program. Our project, entitled “retinar: assisting remote diabetic retinopathy screening with AI tools”, our joint initiative between UNICEN and Hospital El Cruce was awarded with 500 hours on V100 GPU instances via SaturnCloud.
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We are one of the 15 projects in the next round of Prendete!
We are happy to announce that retinar is one of the 15 innovative ideas that were selected among other 130 proyects to participate in the next round of Prendete 2020.
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