Numerical methods

The prevalence of myopia is increasing extensively worldwide. The number of people with myopia in 2020 is predicted to be 2.6 billion globally, which is expected to rise up to 4.9 billion (approx. 50% of the global population) by 2050. The number of individuals with high myopia is also increasing substantially and pathological myopia is predicted to become the most common cause of irreversible vision impairment and blindness worldwide. Pathological myopia affects 5-11% of the myopic population and leads to irreversible blindness in an individual’s working lifetime. Our group works on the vascular analysis in retinal images to enable personalised and early myopic degeneration/pathological myopia risk prediction. Using retinal images for the early detection of risk of pathological myopia can significantly reduce the chances of irreversible vision loss caused by pathological myopia and reduce the financial burden on the healthcare to treat the consequences of pathological myopia such as retinal detachments and choroidal neovascularisation. The retinal image data are combined with clinical measurements of refractive error to develop a comprehensive AI based model that evaluates the risk of irreversible vision loss due to pathological myopia. 

The prevalence of myopia is increasing extensively worldwide. The number of people with myopia in 2020 is predicted to be 2.6 billion globally, which is expected to rise up to 4.9 billion (approx. 50% of the global population) by 2050. The number of individuals with high myopia is also increasing substantially and pathological myopia is predicted to become the most common cause of irreversible vision impairment and blindness worldwide. Pathological myopia affects 5-11% of the myopic population and leads to irreversible blindness in an individual’s working lifetime. Our group works on the vascular analysis in retinal images to enable personalised and early myopic degeneration/pathological myopia risk prediction. Using retinal images for the early detection of risk of pathological myopia can significantly reduce the chances of irreversible vision loss caused by pathological myopia and reduce the financial burden on the healthcare to treat the consequences of pathological myopia such as retinal detachments and choroidal neovascularisation. The retinal image data are combined with clinical measurements of refractive error to develop a comprehensive AI based model that evaluates the risk of irreversible vision loss due to pathological myopia. 

The prevalence of myopia is increasing extensively worldwide. The number of people with myopia in 2020 is predicted to be 2.6 billion globally, which is expected to rise up to 4.9 billion (approx. 50% of the global population) by 2050. The number of individuals with high myopia is also increasing substantially and pathological myopia is predicted to become the most common cause of irreversible vision impairment and blindness worldwide. Pathological myopia affects 5-11% of the myopic population and leads to irreversible blindness in an individual’s working lifetime. Our group works on the vascular analysis in retinal images to enable personalised and early myopic degeneration/pathological myopia risk prediction. Using retinal images for the early detection of risk of pathological myopia can significantly reduce the chances of irreversible vision loss caused by pathological myopia and reduce the financial burden on the healthcare to treat the consequences of pathological myopia such as retinal detachments and choroidal neovascularisation. The retinal image data are combined with clinical measurements of refractive error to develop a comprehensive AI based model that evaluates the risk of irreversible vision loss due to pathological myopia.