Role of artificial intelligence and machine learning in ophthalmology

Commentary: Gamifying teleconsultation during COVID-19 lockdown

“…Perhaps, in future, real-time data analysis of Electronic Medical Records would help to develop an Artificial Intelligence EMR which can prevent diagnostic mistakes, do pre-emptive counselling, and catch pandemics before they happen. [ 8 ]…”

Commentary: Artificial intelligence for everything: Can we trust it?

“…More interestingly, AI can predict seemingly unrelated characteristics such as age, gender, smoking status, systolic blood pressure, refractive error, cognitive impairment, dementia, neurological diseases, Alzheimer's disease, risk of stroke, and cardiac arrest from only the fundus photographs. [ 6 ]…”

“…AI can potentially predict the future progression in visual fields of glaucoma, myopic progression, the response of retinal edema to anti-VEGF, expected surgical complications, and more. [ 6 ]…”

Prediction of different stages in Diabetic retinopathy from retinal fundus images using radial basis function based SVM

“…For many domains, it is easier to separate the classes with a linear function if we can transform our feature data into a space with a higher number of dimensions. One way to do this is to transform the features with a "kernel" function (19,20) . In this study, three different kernel functions are used.…”