AI in eye exams

AI is a field of study within the computer sciences centered around the development of dynamic systems that can be taught to make decisions, predictions, and eventually independently learn new skills, within a certain context. Applications utilizing AI have been used in a diverse variety of fields including health care, education, agriculture and business. The benefits AI brings to every area of study are countless and often lead to ground breaking advancements.  An artificial intelligence (AI) system can recommend the correct referral decision for over 40 plus eye diseases as accurately as world-leading experts have been doing developed by researchers.

Machine learning technology has successfully being trained on hundreds of depersonalized eye scans to identify features to deal with eye diseases and recommend how patients should be referred for care. The way things are advancing, people expect that the technology could one day transform the way professionals carry out eye tests, allowing them to spot conditions earlier and prioritize patients with the most serious eye diseases so as to minimize any irreversible damage before it happens to settle in. The AI technology developing today is designed to prioritize patients who need to be seen and treated urgently by a doctor or eye care professional. It is a known fact that diagnosing and treating eye conditions early,  gives us the best chance of saving people’s sight. AI could lead to greater consistency and quality of care for patients with eye problems in the future. Advancements in AI make it historically easy to train machine learning models that achieve high accuracy on a range of tasks

AI system are designed to be applied on different types of eye scanner, not just the specific model on which it was trained.  Future is all about AI  which could significantly increase the number of people who benefit from this technology where it can be used even as OCT scanners being upgraded or replaced over time. AI has been equipped with features of maximizing its potential use in eye care. The AI system can provide information that helps explain to eye care professionals how it arrives at its recommendations. This data delivered is in the form of visuals of the features of eye disease it has identified on the OCT scan and the recommendations, in the form of a percentage. Fault lies where its  functionality becomes crucial in helping clinicians scrutinize the technology’s recommendations and check its accuracy before deciding the type of care and treatment a patient receives.

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