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10 results on '"Shah, Payal"'

1. Plaque brachytherapy in unresectable medulloepithelioma with anterior chamber seeding and review of literature

Author

Shah, Payal and Palanivelu, Mahesh

Subjects
Tumors, Embryonal -- Case studies -- Care and treatment, Glaucoma -- Case studies -- Care and treatment, Tumors in children -- Case studies -- Care and treatment, Radioisotope brachytherapy -- Case studies, Health
Abstract

Byline: Payal. Shah, Mahesh. Palanivelu Medulloepithelioma is a rare nonhereditary tumor seen most often in children, usually in the first decade. In this paper, we present a case of extensive [...]

Published
2023

2. Long-term real-world outcomes in retinal vein occlusions: How close are we to the trials?

Author

Shah, Payal, Shanmugam, Mahesh, Vora, Ushma, Agrawal, Surbhi, Sirivella, Indrani, Suryakanth, Shwetha, and Jayasingh, Ramya

Subjects
Retinal diseases -- Care and treatment -- Patient outcomes, Health
Abstract

Byline: Payal. Shah, Mahesh. Shanmugam, Ushma. Vora, Surbhi. Agrawal, Indrani. Sirivella, Shwetha. Suryakanth, Ramya. Jayasingh Purpose: To assess and analyze the visual outcomes of patients with retinal vein occlusions in [...]

Published
2022

3. Acceptability of artificial intelligence-based retina screening in general population

Author

Shah, Payal, Mishra, Divyansh, Shanmugam, Mahesh, Vighnesh, M., and Jayaraj, Hariprasad

Subjects
Artificial intelligence -- Surveys -- Usage, Outpatients -- Surveys -- Psychological aspects, Eye -- Medical examination, Health attitudes -- Surveys, Retinal diseases -- Surveys -- Diagnosis, Artificial intelligence, Technology application, Health
Abstract

Byline: Payal. Shah, Divyansh. Mishra, Mahesh. Shanmugam, M. Vighnesh, Hariprasad. Jayaraj Purpose: A deep learning system (DLS) using artificial intelligence (AI) is emerging as a very promising technology in the [...]

Published
2022

4. Coats' disease - Prognostic factors for globe and vision salvage in children, a long-term experience

Author

Shanmugam, Mahesh, Shah, Payal, Sagar, Pradeep, Ramanjulu, Rajesh, and Mishra, Divyansh

Subjects
Vision disorders in children -- Prognosis -- Development and progression, Retinal diseases -- Prognosis -- Development and progression, Pediatric research, Health
Abstract

Byline: Mahesh. Shanmugam, Payal. Shah, Pradeep. Sagar, Rajesh. Ramanjulu, Divyansh. Mishra Purpose: Coats' disease is associated with poor outcomes, and there are limited studies on long-term outcomes of Coats' disease. [...]

Published
2022

5. Effectiveness of Kanna photoscreener in detecting amblyopia risk factors

Author

Murali, Kaushik, Krishna, Viswesh, Krishna, Vrishab, Kumari, B., Murthy, Sowmya Raveendra, Vidhya, C., and Shah, Payal

Subjects
Image processing -- Computer programs, Amblyopia -- Diagnosis -- Risk factors, Machine learning -- Usage, Computer-aided medical diagnosis -- Methods, Pediatric research, Image processing software, Health
Abstract

Byline: Kaushik. Murali, Viswesh. Krishna, Vrishab. Krishna, B. Kumari, Sowmya. Raveendra Murthy, C. Vidhya, Payal. Shah Purpose: Amblyopia is a significant public health problem. Photoscreeners have been shown to have [...]

Published
2021

6. Validation of Deep Convolutional Neural Network-based algorithm for detection of diabetic retinopathy - Artificial intelligence versus clinician for screening

Author

Shah, Payal, Mishra, Divyansh, Shanmugam, Mahesh, Doshi, Bindiya, Jayaraj, Hariprasad, and Ramanjulu, Rajesh

Subjects
Diabetic retinopathy, Algorithms, Artificial intelligence, Ophthalmology, Algorithm, Artificial intelligence, Health
Abstract

Byline: Payal. Shah, Divyansh. Mishra, Mahesh. Shanmugam, Bindiya. Doshi, Hariprasad. Jayaraj, Rajesh. Ramanjulu Purpose: Deep learning is a newer and advanced subfield in artificial intelligence (AI). The aim of our [...]

Published
2020

7. Post-traumatic suprachoroidal dislocation of crystalline lens and its management

Author

Shanmugam, Mahesh, Shah, Payal, Rajesh, R., Mishra, Divyansh, Sagar, Pradeep, and Sheemar, Abhishek

Subjects
Choroid -- Medical examination -- Care and treatment, Intraocular lenses -- Usage -- Health aspects, Traffic accidents, Hemorrhage, Hyphema, Health
Abstract

Byline: Mahesh. Shanmugam, Payal. Shah, R. Rajesh, Divyansh. Mishra, Pradeep. Sagar, Abhishek. Sheemar A 34-year-old gentleman met with road traffic accident 3 months ago with multiple fractures and ocular trauma. [...]

Published
2019

9. Impact of systemic parameters before commencing anti-vascular endothelial growth factor therapy for diabetic macular edema - Pan-Indian survey of retina specialists.

Author

P., Mahesh Shanmugam, Shah, Payal, Ramanjulu, Rajesh, and Mishra, Divyansh

Subjects
*ENDOTHELIAL growth factors, *DIABETIC retinopathy, *MACULAR edema, *RETINA, *GLYCEMIC control, *BLOOD pressure
Abstract

Purpose: Intravitreal anti-vascular endothelial growth factor (VEGF) injection therapy has emerged as the mainstay of treatment in the management of diabetic macular edema (DME) today. Various systemic risk factors have to be considered before initiating anti-VEGF therapy. The aim of our study was to form a consensus on various systemic factors to consider before starting anti-VEGF therapy for DME. Methods: A questionnaire was created and sent across to various retina specialists across India. A GoogleTM form with various questions pertaining to what systemic parameters would one consider before giving anti-VEGF therapy for DME was sent to each of them by email/WhatsAppTM/direct telephonic interview. Results: Of the 650 retina specialists contacted, 322 responded to the questionnaire. There was no difference in responses between private and institutional practitioners. The majority would consider RBS (85%), HbA1c (61%), blood pressure (63%), and renal function (57%) as a routine before administering the anti-VEGF injection, while the majority would not consider hemoglobin (63%) or lipid profile (55%) of the patient as a routine practice prior to administering the injection. Conclusion: In our study, most VR specialists prefer to consider RBS, HbA1c, BP, and renal profile (creatinine) routinely prior to anti-VEGF injection. We suggest that it is important to consider blood pressure control, glycemic control, HbA1c, Hb, lipid profile, and renal profile (UACR, eGFR, and creatinine) prior to anti-VEGF therapy in all diabetic patients and to discuss the need for statins in patients with dyslipidemias with the physician. [ABSTRACT FROM AUTHOR]

Published
2021
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