Diabetic Retinopathy and Other Retinopathies

What it is:
A clinically validated AI solution designed to detect diabetic retinopathy and other retinal diseases through non-dilated fundus eye imaging — delivering results in seconds.

How it works:
Using high-resolution retinal images captured with non-mydriatic cameras, VisionAI applies advanced deep learning algorithms to identify signs of diabetic retinopathy (DR), hypertensive retinopathy, and other pathologies. It classifies severity levels and generates a clinical report to guide timely specialist referrals.

Clinical accuracy:
Over 90% diagnostic accuracy. Currently in the FDA pre-submission process.

Use case:
Ideal for use in primary care, pharmacies, and health campaigns as a preventive screening tool — especially for patients with diabetes or at risk of developing retinal complications. No dilation or specialist is required at the point of care, making it a scalable and accessible solution.

AICVD Cardiac Risk Score – Cardiovascular Risk

What it is:
An AI-powered algorithm that predicts an individual's 10-year risk of developing coronary artery disease (CAD) or experiencing a cardiac event.

How it works:
Developed and validated by Apollo Hospitals, this model analyzes clinical data points such as age, blood pressure, cholesterol levels, smoking status, and more. It delivers a personalized risk score and care recommendations with over 90% accuracy.

Use case:
A powerful tool for preventive cardiology during routine checkups or health assessments, enabling timely lifestyle interventions or specialist referrals before symptoms occur.

Prediabetes AI Risk Assessment – Type 2 Diabetes Risk

What it is:
A machine learning-based solution that estimates the 3-year risk of developing undiagnosed prediabetes or type 2 diabetes in asymptomatic individuals.

How it works:
Built on over 40,000 patient records using eXtreme Gradient Boosting (XGB), this tool evaluates variables such as BMI, family history, glucose trends, and lifestyle factors. It produces a personalized risk profile with an AUC of 0.86.

Use case:
Ideal for proactive screening in clinics, pharmacies, and wellness centers, especially for patients who may not yet show symptoms or have known risk factors.

AI Liver Fibrosis Risk Score – Liver Fibrosis Detection

What it is:
An AI-driven tool that identifies the likelihood of advanced liver fibrosis in patients with non-alcoholic fatty liver disease (NAFLD).

How it works:
By evaluating 25 clinical and laboratory parameters (including AST, ALT, bilirubin, and cholesterol), this model stratifies risk into low, moderate, or high categories. It provides personalized guidance for follow-up and specialist referral, with an AUC of 0.88.

Use case:
Recommended for use in wellness evaluations, chronic care programs, or gastroenterology support services—especially for known NAFLD cases.

CKD Progression Risk Model – Chronic Kidney Disease Progression

What it is:
An advanced model designed to predict the rate of glomerular filtration rate (eGFR) decline in patients diagnosed with stages 1–4 of chronic kidney disease (CKD).

How it works:
It uses a combination of demographic, clinical, and lab data—such as creatinine, albumin, blood pressure, and comorbidities like diabetes or cardiovascular disease—to forecast kidney function deterioration and recommend intervention timing. Accuracy exceeds 85%.

Use case:
Used by nephrologists, internists, and chronic care programs to monitor CKD progression, delay complications, and optimize care planning.

Testimonials

VisionAi gives patients a quick answer regarding their diabetes retinopathy status. The main benefit of VisionAI includes the diagnosis and follow-up of patients who live in remote areas or lack access to healthcare, providing them with a rapid assessment of their eye condition and a recommendation for follow-up and care, becoming a helping tool for patients and clinicians.

Dr. Miguel Cruz

Medical Retina Specialist

The use of VisionAI in the early detection of diabetic retinopathy ensures an invaluable impact in identifying early signs of the disease, enabling a faster and more accurate diagnosis. This undoubtedly expedites the detection of diabetic retinopathy in its initial stages, allowing for timely and effective treatment to preserve vision and improve the quality of life of the Mexican population with diabetes.

Dr. Jorge Cano

Medical Director Masz Salud (Mexico)

This platform allows us to make even more precise diagnoses and timely referrals, in order to save patients' vision and prevent blindness or advanced pathologies.

Dra. Maria José Murillo

Owner Óptica Lunette

The Vision Ai system has been an excellent preventive diagnostic tool for early detection of silent eye diseases in our clinic. In the 7 months we have worked with it, we have detected diabetic retinopathy, congenital retinopathy, and other retinopathies in our patients. By referring them to ophthalmology services in both public and private healthcare, we have been able to provide accurate diagnoses and appropriate treatments to prevent severe visual problems in the future. Vision Ai has been like having a team of expert ophthalmologists online, delivering precise retinopathy diagnoses.

Dra. Maureen Cordero Solórzano

Owner Clínica Preventiva Visual

For me, 'VISION AI' is a highly useful diagnostic screening tool. It allows primary vision care professionals to make timely referrals based on clinical evidence. The main beneficiary of this is the patient because proper diabetes management involves multiple professionals who can provide better guidance with accurate information. Lastly, it adds value to my small business as I can offer a more comprehensive clinical examination complemented by other valuable tests such as tonometry.

Dr. Allan Jose Mora Vargas M.Sc.

Owner Óptica del Valle

Vision Ai

Diabetic Retinopathy and Other Retinopathies

How it Works?

VisionAI compares tens of thousands of retinal images validated by a retina specialist and returns a report in seconds.

Expand Early Detection with AI-Powered Solutions

AICVD Cardiac Risk Score – Cardiovascular Risk

Prediabetes AI Risk Assessment – Type 2 Diabetes Risk

AI Liver Fibrosis Risk Score – Liver Fibrosis Detection

CKD Progression Risk Model – Chronic Kidney Disease Progression

See How We Are Transforming Preventive Healthcare

Testimonials

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