May 2018 smartGOV_eMagazine_May2018 - Page 14

Smart Governance SmartHealth AI network for eye care T By Prashant Gupta oday, eyecare is set to leverage Artificial Intelligence (AI) and machine learning to help millions of people to predict and reduce the loss of vision. Refractive errors, such as near-sightedness (myopia) and farsightedness (hyperopia), are some of the most common visual impairments in the world. Myopia is relatively more prevalent and affects a younger cohort. Children and young adults tend to develop signs of myopia early on. If left untreated, myopia could become pathological. Pathological myopia can alter the shape and globe of the eye, leading to acute vision loss. Although hyperopia isn’t as common as myopia in young children, severe cases could have an equally detrimental effect. High degrees of Nearly 285 million people around the world suffer from some form of visual impairment. Recent medical data indicates that nearly 70 per cent of these cases could have been prevented with early detection and screening. hyperopia are associated with sensory and visual motor problems that may result in serious visual impairments. Is a global visual impairment epidemic on the horizon? Visual impairments and refractive errors have become a global health issue in recent years. The rate of impairments continues to increase. Studies suggest that 2.5 billion people could suffer from myopia by 2020 and the number is expected to increase to 5 billion by 2050. “Uncorrected refractive error is the leading cause of visual impairment and one of the major causes of blindness in the world,” says Dr. G.N. Rao, Founder and Chair, L V Prasad Eye Institute. The magnitude of the problem appears to be on the rise all over the world as per the currently available data. To prevent blindness from turning into a global epidemic, eyecare providers need better tools to monitor cases and detect the ones with a higher risk of turning severe. AI-driven healthcare network is tackling the challenge At Microsoft, we are committed to leveraging machine learning and 14 | May 2018 |