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 The growing incidence of retinal disorders across the glove, increased efficiency of diagnosis and treatment, and evolution of the retinal imaging systems are projected to propel the industry’s growth over the coming years. Additionally, ultra-modern healthcare infrastructure and convenient reimbursement policies are also contributing to the growth of the Retinal Imaging Market. The most common ophthalmic disorders are age-related macular degeneration, macular edema, and diabetic neuropathy, among others. With the rising prevalence of diabetes globally, there is a massive surge in the patient pool of people with diabetic complications. Diabetic retinopathy is among the most common complications of diabetes. The report relies on advanced primary and secondary research methodologies to assess information. The data for the study is gathered from reliable and trustworthy sources, ensuring the authenticity and accuracy of the research study. We also employ qualitative and quantitative ana

 The integration of artificial intelligence into the field of radiology has revolutionized it, bringing about significant advancements in medical imaging with machine intelligence and deep learning algorithms . Artificial Intelligence (AI) in Radiology   assists radiologists in identifying the onset or root of the disease, enabling them to efficiently plan their treatment procedures and provide long- term assurances . AI technology further empowers various medical imaging solutions to diagnose and treat acute abnormalities in the body in the most effective ways . A wide array of AI solutions, including machine learning, big data analytics, cloud computing, and deep learning tech, are extensively being adopted by hospitals and clinics worldwide to offer the best of advanced treatment options for severe medical conditions. Artificial intelligence is increasingly being used in the field of medicine, particularly in radiology. The Global Artificial Intelligence (AI) In Radiology