| 1 |
Evaluation of the Nallasamy formula: a stacking ensemble machine learning method for refraction prediction in cataract surgery |
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| Tingyang Li, Joshua Stein, Nambi Nallasamy |
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| British Journal of Ophthalmology. 2022; : bjophthalm |
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| [Pubmed] [Google Scholar] [DOI] |
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| 2 |
Assessing the Utility and Patient Satisfaction of Virtual Retina Clinics During COVID-19 Pandemic |
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| Leire Juaristi, Cristina Irigoyen, Jaione Chapartegui, Ane Guibelalde, Javier Mar |
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| Clinical Ophthalmology. 2022; Volume 16: 311 |
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| [Pubmed] [Google Scholar] [DOI] |
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| 3 |
Utilizing human intelligence in artificial intelligence for detecting glaucomatous fundus images using human-in-the-loop machine learning |
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| PrasannaVenkatesh Ramesh, Tamilselvan Subramaniam, Prajnya Ray, AjiKunnath Devadas, ShruthyVaishali Ramesh, SheikMohamed Ansar, MeenaKumari Ramesh, Ramesh Rajasekaran, Sathyan Parthasarathi |
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| Indian Journal of Ophthalmology. 2022; 70(4): 1131 |
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| [Pubmed] [Google Scholar] [DOI] |
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| 4 |
Commentary: Water, water everywhere; alters eye when you drink |
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| JohnD Akkara, Anju Kuriakose |
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| Indian Journal of Ophthalmology. 2022; 70(4): 1230 |
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| [Pubmed] [Google Scholar] [DOI] |
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| 5 |
Commentary: Is it time for teleophthalmology, virtual glaucoma clinics and uberization of eye care? |
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| JohnDavis Akkara,Anju Kuriakose |
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| Indian Journal of Ophthalmology. 2021; 69(3): 719 |
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| [Pubmed] [Google Scholar] [DOI] |
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| 6 |
Use of predictive models to identify patients who are likely to benefit from refraction at a follow-up visit after cataract surgery |
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| Sachin Gupta, MatthewJ Schneider, SAshok Vardhan, Thulasiraj Ravilla |
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| Indian Journal of Ophthalmology. 2021; 69(10): 2695 |
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| [Pubmed] [Google Scholar] [DOI] |
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| 7 |
Identification of glaucoma from fundus images using deep learning techniques |
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| S Ajitha, JohnD Akkara, MV Judy |
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| Indian Journal of Ophthalmology. 2021; 69(10): 2702 |
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| [Pubmed] [Google Scholar] [DOI] |
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| 8 |
Smartphone microscope in eye clinic to visualize fungus and Demodex |
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| Pawan Prasher,Brahmjot Singh,VipanK Vig,JohnDavis Akkara |
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| Kerala Journal of Ophthalmology. 2021; 33(2): 217 |
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| [Pubmed] [Google Scholar] [DOI] |
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| 9 |
A Review of Current Applications of Artificial Intelligence and Machine Learning in Medical Science |
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| Jayant Kumar A Rathod, Naveen Bhavani, Prenita Prinsal Saldanha, Preethi M Rao, Prasad Patil |
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| International Journal of Advanced Research in Science, Communication and Technology. 2021; : 316 |
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| [Pubmed] [Google Scholar] [DOI] |
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| 10 |
Artificial intelligence in ophthalmology: A new era is beginning |
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| Bijnya Birajita Panda,Subhodeep Thakur,Sumita Mohapatra,Subhabrata Parida |
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| Artificial Intelligence in Medical Imaging. 2021; 2(1): 5 |
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| [Pubmed] [Google Scholar] [DOI] |
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| 11 |
Can deep learning revolutionize clinical understanding and diagnosis of optic neuropathy? |
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| Mohana Devi Subramaniam, Abishek Kumar B, Ruth Bright Chirayath, Aswathy P Nair, Mahalaxmi Iyer, Balachandar Vellingiri |
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| Artificial Intelligence in the Life Sciences. 2021; : 100018 |
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| [Pubmed] [Google Scholar] [DOI] |
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| 12 |
A study on the use of Edge TPUs for eye fundus image segmentation |
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| Javier Civit-Masot,Francisco Luna-Perejón,José María Rodríguez Corral,Manuel Domínguez-Morales,Arturo Morgado-Estévez,Antón Civit |
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| Engineering Applications of Artificial Intelligence. 2021; 104: 104384 |
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| 13 |
Commentary: Intravitreal injection of formalin as a life hack for ophthalmic wet lab training |
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| JohnD Akkara, Anju Kuriakose |
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| Indian Journal of Ophthalmology. 2021; 69(12): 3755 |
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| [Pubmed] [Google Scholar] [DOI] |
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| 14 |
Commentary: Teleophthalmology and electronic medical records: Weighing the pros and cons of unavoidable progress |
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| JohnDavis Akkara,Anju Kuriakose |
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| Indian Journal of Ophthalmology. 2020; 68(2): 367 |
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| [Pubmed] [Google Scholar] [DOI] |
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| 15 |
Commentary: Artificial intelligence for everything: Can we trust it? |
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| JohnDavis Akkara,Anju Kuriakose |
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| Indian Journal of Ophthalmology. 2020; 68(7): 1346 |
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| [Pubmed] [Google Scholar] [DOI] |
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| 16 |
Artificial Intelligence in Ophthalmology: Evolutions in Asia |
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| Paisan Ruamviboonsuk,Carol Y. Cheung,Xiulan Zhang,Rajiv Raman,Sang Jun Park,Daniel Shu Wei Ting |
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| Asia-Pacific Journal of Ophthalmology. 2020; 9(2): 78 |
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| [Pubmed] [Google Scholar] [DOI] |
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| 17 |
Commentary: Gamifying teleconsultation during COVID-19 lockdown |
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| JohnD Akkara,Anju Kuriakose |
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| Indian Journal of Ophthalmology. 2020; 68(6): 1013 |
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| [Pubmed] [Google Scholar] [DOI] |
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| 18 |
Commentary: Artificial intelligence in ophthalmology: Potential challenges and way ahead |
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| Divya Agarwal,Atul Kumar |
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| Indian Journal of Ophthalmology. 2020; 68(7): 1347 |
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| [Pubmed] [Google Scholar] [DOI] |
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