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357 articles for “ear diseases”
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Radiation is used in nuclear medicine for damaged tissues or organs treatment by X -Rays
Abstract: Utilizing radioactive particles inside the body, nuclear medicine can diagnose an illness by observing how an organ or tissue is working or by destroying unhealthy or damaged tissue after analysis. The natural environment exposes us to ionizing radiation every day, but additional treatments, such as those resulting from nuclear medicine treatments, may slightly raise the chance of acquiring cancers during later life.To determine the best course of action for your …
Published in Journal of Nuclear Engineering & Technology · Vol. 12, Issue 1, 2022 · pp. 31–34 Read article
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Image Preprocessing And Analysis On Eye Fundus Images Segmentation By Using Density Clustering Methods
Abstract: Abstract: In order to do an automated evaluation of various retinal illnesses such as Diabetic retinopathy, Glaucoma, and Macular Edema, fundus images must be pre-processed first. For many reasons, it's difficult to accurately detect the optic disc. Many blood vessels cross the optic disc, making it difficult to discern the disc's boundaries in fundus images. Lesion regions in diabetic retinopathy look very much like an optic disc's colour and texture, …
Published in Recent Trends in Sensor Research & Technology · Vol. 8, Issue 3, 2021 · pp. 11–18 Read article
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Assessment of Knowledge, Attitude and Practice about Breast Self-Examination among Mizan–Tepi University Mizan Campus Female Students Benchi Maji Zone Southwest Ethiopia
Abstract: Background: Breast self-examination is one of the most cost-effective methods of screening for breast cancer detection at the early stage of the disease. The exact cause of breast cancer is not known but it is caused by multiple risk factors. It is a hormone dependent disease with a female to male ratio of 150:1. The incidence of breast cancer among blacks African American and low-income countries is low but the …
Published in Journal of Nursing Science & Practice · Vol. 9, Issue 1, 2019 · pp. 29–40 Read article
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Effect of Diabetes Mellitus on Hearing
Abstract: Jordao (1857) was the first to report sensorineural hearing loss in patients with diabetes mellitus. Jannulis and Delijan [1] were the first otologists who carried out hearing tests in diabetics and concluded that these patients suffered from progressive bilateral sensorineural deafness of gradual onset which predominantly affects higher frequencies in elderly subjects. The objective was to identify type of hearing loss, comparison of duration of diabetes and relation of HbA1c …
Published in Research and Reviews: A Journal of Medicine · Vol. 4, Issue 1, 2014 · pp. 24–29 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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Screening for Ovarian Malignancies in Low Risk Population, Is It Worthwhile?
Abstract: Despite the advances in chemotherapy and surgery, the prognosis in advanced epithelial ovarian cancer remains bleak. A better understanding of the disease biology obtained in the last decade led to the hope that early detection can be done. Large population studies were undertaken around the world in low risk population to see if screening can detect ovarian cancer in early stages and thus decrease the disease related mortality. In this …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 3, Issue 3, 2014 · pp. 13–15 Read article
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Chronic Obstructive Pulmonary Disease (COPD) in Younger Adults: Challenges and Considerations – A Review
Abstract: Chronic Obstructive Pulmonary Disease (COPD) phenomenon rapidly converting into chronic significant health issues for many young adults. A disease calculated for older age gives way to early-onset COPD, which creates new issues for diagnosing and treating the illness and even interacts with the quality of life. The article reviews the epidemiology, risk factors, pathophysiology, clinical presentation, and treatment considerations related to this set of conditions. From those risk factors, early-onset …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 3, 2025 · pp. 08–19 Read article
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A Comprehensive Review: Personalized Treatment Strategies in Stable Ischemic Heart Disease
Abstract: Stable Ischemic Heart Disease (SIHD) is one of the leading cardiovascular disorders associated with high morbidity and mortality worldwide. Since early symptoms such as chest pain, fatigue, and shortness of breath are often non-specific and difficult to recognize, diagnosis becomes challenging, and many cases remain undetected until advanced stages or complications occur. Traditional diagnosis depends heavily on clinical evaluation, electrocardiography, stress testing, and imaging techniques. The development of improved treatment …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 2, 2026 Read article
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Crop Disease Prediction by Machine Learning
Abstract: The classification of Crop can be classified into several methods. The data set of crop leaf illnesses, notably Bacterial Leaf Blight disease (BLB), a crop leaf disease with significant outbreaks throughout Thailand, and Brown Spot Crop disease (BSR), is classified employing image classification in this study. Additionally, image processing technology is used for identifying different types of crop leaf disease. These algorithms include the Random Forest, Decision Tree, Gradient Boost, …
Published in Trends in Machine design · Vol. 11, Issue 2, 2024 · pp. 21–25 Read article
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Hybrid Techniques in Mango Leaf Disease Identification: Evaluating Neural Networks and Support Vector Machines
Abstract: Mango leaf diseases pose a significant threat to mango production, impacting both yield and fruit quality. Early and accurate detection of these diseases is crucial for effective management. This paper evaluates the use of hybrid techniques, specifically the integration of neural networks (NNs) and support vector machines (SVM), in the identification and classification of mango leaf diseases. NN excel in extracting complex features from images, while SVMs are robust classifiers, …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 3, 2024 · pp. 19–27 Read article
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GenChrome-ML: A Machine Learning Framework for Early Detection of Chromosomal Disorders Using Genomic Data
Abstract: The increasing burden of chronic disease and cancer demands innovative, more rapid and effective diagnostic tools in the field of healthcare. The majority of current diagnostic tools are dependent upon clinical symptomology and manual evaluation, leading to delays in early detection and treatment. The development of artificial intelligence (AI) and machine learning (ML), in recent years, has offered opportunities for the enhancement of disease prediction, diagnosis and personalization of treatment …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 Read article
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Plants Disease Detection Using TensorFlow and OpenCV
Abstract: Growing healthy and productive crops is crucial in the global battle for food security. To minimize crop losses and apply timely control measures, early and precise diagnosis of plant diseases is essential. Conventional illness detection techniques are subjective, labor-intensive, and complicated; they frequently rely on eye inspection. The TensorFlow and OpenCV libraries are used in this study to explore the use of Convolutional Neural Networks (CNNs) for plant disease discovery. …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 1, 2024 · pp. 31–38 Read article
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A Case Report on Alport Syndrome which ends up with Allograft Rejection due to Anti-GBM Disease
Abstract: Alport syndrome (AS) is a condition which is genetically inherited and is characterized by abnormalities in the basement membrane of the kidney, ear and eye as well. It is one of the spectra of diseases representing hereditary nephritis, which inevitably leads to end-stage renal disease (ESRD). Sensorineural hearing loss (SNHL) is also a characteristic feature in AS. The hearing abnormality begins during late childhood or early adolescence and 90% of …
Published in Research and Reviews: A Journal of Medicine · Vol. 9, Issue 3, 2019 · pp. 1–4 Read article
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Next-Gen Agriculture: Deep Learning Algorithms for Real-Time Plant Disease Detection via IoT
Abstract: In addition to providing high-quality food, the agriculture industry plays a critical role in supporting expanding people and economies. Plant diseases can have a detrimental effect on biodiversity and result in significant losses in food production. Automated methods for early and precise identification of plant diseases can reduce financial losses and enhance the quality of food produced. Deep learning has significantly improved object detection and picture classification accuracy in recent …
Published in Recent Trends in Sensor Research & Technology · Vol. 11, Issue 1, 2024 · pp. 18–23 Read article
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Transforming Rare Disease Diagnosis with AI
Abstract: Artificial intelligence is changing healthcare fast. It is making diagnoses accurate, helping doctors get better results, and streamlining how care works. This paper looks at how AI shows up in healthcare right now – where it is already making a difference, what is working, and what is still tricky. The focus is on machine learning, natural language processing, and computer vision. Particular attention is given to using AI in diagnosing …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 · pp. 31–40 Read article
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Machine Learning Based Early Cataract Detection: A Predictive Modeling Approach
Abstract: Cataracts, characterized by dense cloudy areas in the eye’s lens, afflict more than 50% of elderly individuals, leading to impaired vision and potential blindness. Detecting cataracts at an early stage is crucial to facilitate simpler treatments, as neglecting the condition may necessitate complex eye surgery. To address this issue, we are creating a predictive system that identifies cataract disease by analyzing user-provided eye features. To achieve this, we leverage OpenCV, …
Published in International Journal of Computer Science Languages · Vol. 1, Issue 2, 2023 · pp. 1–8 Read article
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Assessment of Knowledge and Estimated Burden of Life Style Diseases in a Rural Community
Abstract: Although rapid human evolution has brought about advancement, it has also caused several lifestyle ailments. People’s daily routines have drastically changed as a result of emerging technologies, and it paved the way for numerous life style disorders. According to reports, lifestyle diseases are a major cause of increased mortality globally. Our study highlights the prevalence of life style diseases in the rural community and the need for early identification and …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 1, Issue 1, 2023 · pp. 33–38 Read article
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Decoding Innate Immunity: Mechanisms, Components, and Clinical Implication
Abstract: Innate immunology represents the body's first line of defense against pathogens, acting as a rapid, non-specific response to a wide array of microbial invaders. This part of the immune system depends on pattern recognition receptors (PRRs) to identify pathogen-associated molecular patterns (PAMPs) and damage-associated molecular patterns (DAMPs), leading to the activation of immune cells such as macrophages, dendritic cells, and neutrophils. The innate immune system also plays a crucial role …
Published in Research and Reviews : A Journal of Immunology · Vol. 15, Issue 2, 2025 Read article
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Small Cell Neuroendocrine Carcinoma of Cervix: A Case Report and Review
Abstract: Cancer cervix ranks third of all cancers in the world. It remains a leading cause of cancer related death in the developing country. Various histologic subtypes seen in cancer cervix, squamous cell carcinoma (70%) is the most common one. Second common variety observed is adenocarcinoma which account for about 25% of cases. Other histologic subtypes are rare. Small cell neuroendocrine cervical carcinoma (SCNCC) is one of such uncommon variant that …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 5, Issue 2, 2016 · pp. 15–18 Read article
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Effectiveness of structured teaching programme on knowledge regarding ECG and its basic interpretation among second semester BSc Nursing students in selected nursing college at Pathanamthitta district
Abstract: Cardiovascular diseases have now become the leading cause of mortality in India. Cardiovascular disease accounts for twenty five percent of all mortality. Electrocardiogram has an important role in the early detection and treatment of various cardiovascular diseases. Over the year significant advancements have been made in the field of ECG research, leading to the development of new techniques, technologies and algorithms for ECG analysis. ECG allows nurse to diagnose and …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 1, Issue 2, 2023 · pp. 09–20 Read article