Glaucoma screening technology has been identified as an application of artificial intelligence that can give almost as good results as ophthalmologists. At an early stage, when patients still don’t have any problem with their vision, they can check glaucoma. The detection of the condition at an early stage is the most effective way of managing it.
Now, AI-enabled devices have achieved a new level of accuracy that permits them to be used as a reliable substitute to medical professionals. They can not only catch the development of the disease at an early stage but also predict its progression through machine learning-based imaging based on the information that a patient gives.
AI implemented in the healthcare sector is one of the methods being used by healthcare providers. The technology at these places is used to make people be tested even if they are living in an area that is underserved in this type of medical knowledge; hence, many people can access healthcare centers. Mobile medical facilities like mobile clinics can get to places inaccessible for traditional ophthalmology services zones.
However, despite the numerous advantages of AI-based tools, integrating them into routine clinical settings still poses a number of obstacles. The clinical implementation of AI requires strict validation and regulatory setups that pronounce on the safety, accuracy, and efficacy of the system.
Today in the horizon of healthcare the presence of AI is tangible and the effect it is having on glaucoma treatment is a sign of what other innovations might hold. It is expected by the researchers that dis that new inventions will pave the way for other eye problems.
