Recent advances in the field of machine learning and computer vision are enabling artificial intelligence (AI) based software to be trained on millions of retinal photographs allowing them to screen for diseases with high accuracy
, often meeting and even exceeding human performance.
Clinical studies are demonstrating safety and effectiveness of AI in detecting the presence or absence of vision threatening conditions like:
- Diabetic Retinopathy (DR)
- Age-related Macular Degeneration
- Assessing risk for systemic conditions like hypertension, stroke, and cardiovascular diseases
- Looking for signs of neurological disorders like MCI and Alzheimer's disease
In the future, AI eye screening will make screening more accessible, enable population screening at large-scales, and reduce screening cost.
A.I.-assisted automated screening and diagnosis of the common diseases in ophthalmology is the path toward more efficient and more objective ways to interpret the huge volume of images that modern eye care practices produce.
A.I. software simplifies screening procedures and help maximize the doctors' role at the clinic.
Besides, A.I. offers the patients more medical opportunities and reduces obstacles to access for an eye care where an ophthalmologist is not available.
However, machines can help the doctor make a better diagnosis, but the role of the doctor will continue to involve the art of medicine, which is a uniquely human process.
Nexy is optimized for A.I. assisted evaluation.
If nexy is associated to an A.I. software the evaluation will be sent to it, analyzed and sent back to nexy’s tablet.