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9 articles for “ophthalmologists”
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Usage of E-Newsletters among Ophthalmologists in India: An Opinion Survey
Abstract: E-newsletter is an electronic bulletin, issued periodically to the members of a society or to a specific group of the society. Ophthalmic E-newsletter sites help the ophthalmologists to keep updated in their field and sharpen their skills. The main aim of the study is to get more insights about the usage of E-newsletter sites among the ophthalmologists. A survey method is used to obtain the opinion from ophthalmologists on their …
Published in Journal of Advancements in Library Sciences · Vol. 6, Issue 1, 2019 · pp. 107–112 Read article
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Journal Reading Preferences among Ophthalmologists: A Study in India
Abstract: Background: Scientific journals provide evidences and facilitate to build the core knowledge in a professional field. Ophthalmologists/eye doctors working in academic eye hospitals read journals to do evidence-based practice, research, and teach. The purpose of this study is to determine journal reading preferences among those ophthalmologists. Methodology: The study design is cross-sectional and convenience sampling method is adopted. A structured questionnaire was used to collect data. SPSS 18 PASW Statistical …
Published in Journal of Advancements in Library Sciences · Vol. 7, Issue 3, 2020 · pp. 44–51 Read article
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A Review on Diagnosis and Management of Conjunctivitis
Abstract: Conjunctivitis, typically recounted as crimson eye, is a super ocular circumstance affecting men and ladies of all ages. This abstract aims to summarize the findings of a comprehensive study that delves into the pathogenesis, clinical manifestations, and management strategies for conjunctivitis. A multifaceted approach was employed, including a systematic literature review of conjunctivitis-related studies, clinical observations, and interviews with leading ophthalmologists. The various cases were analysed to assess demographic patterns, …
Published in Recent Trends in Infectious Diseases · Vol. 1, Issue 2, 2024 · pp. 35–46 Read article
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The Analysis of Deep Learning-Based Methods for Identifying Diabetic Retinopathy
Abstract: Diabetic retinopathy (DR) is a degenerative eye condition resulting from diabetes mellitus, where high blood glucose levels lead to lesions on the retina. This condition is considered the leading cause of blindness among working-age diabetic patients, particularly in developing countries. As the disease is irreversible, the treatment aims to preserve the patient’s current vision. Early detection is crucial for effective management of DR to maintain vision. One of the main …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 3, 2024 · pp. 15–31 Read article
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A Comprehensive Review of CNN-Based Framework for Multi-Sign Detection of Diabetic Retinopathy in Fundus Images Using Public Datasets
Abstract: Diabetic retinopathy (DR) is one of the main causes of vision impairment. Blindness prevention and effective treatment depend on early detection. A thorough deep learning-based framework for the automatic segmentation and simultaneous detection of exudates, hemorrhages, and microaneurysms – three important DR indicators – from retinal fundus images is presented in this work. These three pathological signs’ corresponding annotated image patches, along with background (no-sign) areas, were used to train …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 3, 2025 · pp. 14–23 Read article
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The Integration of Artificial Intelligence in Ophthalmology: Augmenting Clinical Decision or Clinical Dependency?
Abstract: The diagnostic accuracy of artificial intelligence (AI) algorithms for glaucoma and diabetic retinopathy screening is on par with or higher than that of skilled doctors. Their acceptance has accelerated due to regulatory clearances, practical implementation in telehealth networks, and growing proof of cost-effectiveness. However, this very success raises a question that the field has been reluctant to address: are we unintentionally undermining the clinical reasoning abilities of the upcoming generation …
Published in Research and Reviews: A Journal of Health Professions · Vol. 16, Issue 1, 2026 · pp. 31–34 Read article
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Awareness, Perceptions and Practices about Childhood Blindness among Parents Visiting a Tertiary Level Children Hospital in Delhi
Abstract: Childhood blindness impacts a child’s development, education, future work opportunities and quality of life. In nearly 50% of the cases, childhood blindness is treatable or preventable. Parents are the decision makers when it comes to children’s healthcare needs, and can play a crucial role in control of childhood blindness. The objective of this study is to assess the awareness, perceptions and practices among parents about common causes of childhood blindness …
Published in Research and Reviews: A Journal of Health Professions · Vol. 3, Issue 3, 2013 · pp. 6–10 Read article
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Feature Extraction to Detect Diabetic Retinopathy and Glaucoma in Fundus Image
Abstract: Visual impairment due to various eye-related diseases can be largely prevented through regular fundus colour image screening. Large scale screening of the retinal image in the early stages is crucial to disease diagnosis. It is reported that the number of ophthalmologist ratios is very low. Hence, the computer-aided screening is required where the diagnosis of disease from an image is done from the main features of the fundus image. In …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 7, Issue 1, 2018 · pp. 9–12 Read article
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Automatic Detection of Diabetic Retinopathy from Fundus Images- A Review
Abstract: Abstract: Diabetes mellitus may cause modifications in the retinal microvasculature prompting diabetic retinopathy (DR). Unchecked, propelled/advanced DR may prompt visual impairment. It very well may be dull and tedious to unravel unpretentious morphological changes in optic disc, microaneurysms, haemorrhages, veins, macula, and exudates through manual review of fundus pictures/images. A computer aided systematic diagnosis can considerably decrease the burden on ophthalmologists and can increase the inter- and intra-observer variability. This …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 6, Issue 3, 2019 · pp. 12–23 Read article