The impact of artificial intelligence in screening for diabetic retinopathy in India von Rajalakshmi, Ramachandran

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Automated diabetic retinopathy detection in smartphone-based fundus photography using artificial intelligence von Rajalakshmi, Ramachandran, Subashini, Radhakrishnan, Anjana, Ranjit Mohan, Mohan, Viswanathan

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Fundus photograph-based deep learning algorithms in detecting diabetic retinopathy von Raman, Rajiv, Srinivasan, Sangeetha, Virmani, Sunny, Sivaprasad, Sobha, Rao, Chetan, Rajalakshmi, Ramachandran

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Review of retinal cameras for global coverage of diabetic retinopathy screening von Rajalakshmi, Ramachandran, Prathiba, Vijayaraghavan, Arulmalar, Subramanian, Usha, Manoharan

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Use of Telemedicine Technologies in Diabetes Prevention and Control in Resource-Constrained Settings: Lessons Learned from Emerging Economies von Pradeepa, Rajendra, Rajalakshmi, Ramachandran, Mohan, Viswanathan

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Assessing the appropriateness and completeness of ChatGPT-4's AI-generated responses for queries related to diabetic retinopathy von Subramanian, Brughanya, Rajalakshmi, Ramachandran, Sivaprasad, Sobha, Rao, Chetan, Raman, Rajiv

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Burden of undiagnosed and suboptimally controlled diabetes in selected regions of India: Results from the SMART India population-level diabetes screening study von Rajalakshmi, Ramachandran, Vasconcelos, Joana C, Prevost, A Toby, Sivaprasad, Sobha, Deepa, Mohan, Raman, Rajiv, Ramasamy, Kim, Anjana, Ranjit Mohan, Conroy, Dolores, Das, Taraprasad, Hanif, Wasim, Mohan, Viswanathan

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Validation of Smartphone Based Retinal Photography for Diabetic Retinopathy Screening von Rajalakshmi, Ramachandran, Arulmalar, Subramanian, Usha, Manoharan, Prathiba, Vijayaraghavan, Kareemuddin, Khaji Syed, Anjana, Ranjit Mohan, Mohan, Viswanathan

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Insights into the growing popularity of artificial intelligence in ophthalmology von Dutt, Sreetama, Sivaraman, Anand, Savoy, Florian, Rajalakshmi, Ramachandran

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Impact on health and provision of healthcare services during the COVID-19 lockdown in India: a multicentre cross-sectional study von Raman, Rajiv, Rajalakshmi, Ramachandran, Surya, Janani, Ramakrishnan, Radha, Sivaprasad, Sobha, Conroy, Dolores, Thethi, Jitendra Pal, Mohan, V, Netuveli, Gopalakrishnan

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Deep learning-based detection of diabetic macular edema using optical coherence tomography and fundus images: A meta-analysis von Manikandan, Suchetha, Raman, Rajiv, Rajalakshmi, Ramachandran, Tamilselvi, S, Surya, R

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Compliance with follow-up in patients with diabetic macular edema: Eye care center vs. diabetes care center von Kumar, Geetha, Velu, Saranya, Rajalakshmi, Ramachandran, Surya, Janani, Mohan, Viswanathan, Raman, Aayushi, Raman, Rajiv

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Diabetic retinopathy screening guidelines in India: All India Ophthalmological Society diabetic retinopathy task force and Vitreoretinal Society of India Consensus Statement von Raman, Rajiv, Ramasamy, Kim, Rajalakshmi, Ramachandran, Sivaprasad, Sobha, Natarajan, S

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Various models for diabetic retinopathy screening that can be applied to India von Rajalakshmi, Ramachandran, Prathiba, Vijayaraghavan, Rani, Padmaja Kumari, Mohan, Viswanathan

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Association of increased levels of MCP-1 and Cathepsin-D in young onset type 2 diabetes patients (T2DM-Y) with severity of diabetic retinopathy von Reddy, Sruthi, Amutha, Anandakumar, Ramachandran, Rajalakshmi, Baskaran, Regin, Monickaraj, Finny, Rangasamy, Sampthkumar, Anjana, Ranjit Mohan, Abhijit, Shiny, Gokulakrishnan, Kuppan, Das, Arup, Mohan, Viswanathan, Balasubramanyam, Muthuswamy

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Prevalence and risk factors for diabetic retinopathy in prediabetes in Asian Indians von Rajalakshmi, Ramachandran, UmaSankari, Ganesan, Sivaprasad, Sobha, Venkatesan, Ulagamathesan, Kumpatla, Satyavani, Shanthirani, Coimbatore Subramanian, Viswanathan, Vijay, Mohan, Viswanathan

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Development and validation of resource-driven risk prediction models for incident chronic kidney disease in type 2 diabetes von Gurudas, Sarega, Nugawela, Manjula, Prevost, A. Toby, Sathish, Thirunavukkarasu, Mathur, Rohini, Rafferty, J. M., Blighe, Kevin, Rajalakshmi, Ramachandran, Mohan, Anjana R., Saravanan, Jebarani, Majeed, Azeem, Mohan, Viswanthan, Owens, David R., Robson, John, Sivaprasad, Sobha

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Role of cystatin C in the detection of sight-threatening diabetic retinopathy in Asian Indians with type 2 diabetes von PramodKumar, Thyparambil Aravindakshan, Sivaprasad, Sobha, Venkatesan, Ulagamathesan, Mohan, Viswanathan, Anjana, Ranjit Mohan, Unnikrishnan, Ranjit, Cherian, Juhy, Giridhar, Anantharaman, Gopalakrishnan, Mahesh, Rajalakshmi, Ramachandran

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Early retinal functional alteration in relation to diabetes duration in patients with type 2 diabetes without diabetic retinopathy von Srinivasan, Sangeetha, Sivaprasad, Sobha, Rajalakshmi, Ramachandran, Anjana, Ranjit Mohan, Malik, Rayaz A., Kulothungan, Vaitheeswaran, Natarajan, Viswanathan, Raman, Rajiv, Bhende, Muna

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Using deep learning to detect diabetic retinopathy on handheld non-mydriatic retinal images acquired by field workers in community settings von Nunez do Rio, Joan M., Nderitu, Paul, Raman, Rajiv, Rajalakshmi, Ramachandran, Kim, Ramasamy, Rani, Padmaja K., Sivaprasad, Sobha, Bergeles, Christos

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