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43 articles for “diagnostic tool”

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Research ArticleOpen accessIn the abstractPerformance Analysis of Modified Enhancement Method for Dental Images - Towards the Effective Detection of Dental DisordersKrishnaveni R, Sudarmani RDental health maintenance is essential for overall physiological well-being, and X-ray imaging remains a fundamental diagnostic tool for comprehensive dental examination. While direct clinical observation by dentists is primary, computer-aided diagnostic tools serve as valuable secondary readers, enhancing diagnostic accuracy and efficiency. This study proposes and evaluates the Gaussian CLAHE Enhancement (GCE) method, which combines Gaussian filtering (GF) with Contrast … …Journal of Computer Science, Vol. 21, Issue 11 · 18 Dec 2025 · 1,716 accessesView PDFCite
Research ArticleOpen accessIn the abstractRefining Chest X-ray Interpretation with Deep Transfer Learning TechniquesR. Sriramkumar, K. Selvakumar, J. JeganChest X-rays are essential diagnostic tools for thoracic diseases, but different doctors' interpretations can differ greatly, which frequently results in inconsistent diagnoses. By using deep transfer learning techniques, this study seeks to improve the accuracy of Chest X-ray interpretations. More accurate and effective analysis can be accomplished with the growing potential of artificial intelligence (AI) in medical imaging, especially through … …Journal of Computer Science, Vol. 21, Issue 10 · 27 Nov 2025 · 2,644 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Analysis of Binary Patterns Pyramid and Gabor Filters for Machine Learning-Based Nail Disease DetectionJagadeeswari Boopalan, Maruthu Perumal SabtharishiNail diseases, including Onychomycosis and Psoriasis, are common conditions that pose diagnostic challenges due to subtle clinical presentations and reliance on invasive methods. This study investigates the effectiveness of Binary Patterns Pyramid Filter (BPPF) and Gabor Filter (GF) as feature extraction techniques for machine learning-based nail disease detection, addressing three categories: Healthy, Onychomycosis, and Psoriasis. Using a dataset of 1,466 … …Journal of Computer Science, Vol. 21, Issue 8 · 2 Oct 2025 · 2,178 accessesView PDFCite
Research ArticleOpen accessIn the abstractCorrelation of Some Tumor Markers Between Serum and Saliva of Patients with Breast CancerHuthaifa Tarawneh, Omar AtroozBreast cancer, which affects 36% of all female oncological patients, is the most frequent cancer in the world among women. Since routine laboratory evaluation of serum can be stressful for patients, it is critical to comprehend the features and limitations of salivary test methods in order to achieve an accurate diagnosis of breast cancer. The purpose of the study is … …OnLine Journal of Biological Sciences, Vol. 25, Issue 1 · 12 Oct 2024 · 4,901 accessesView PDFCite
Research ArticleOpen accessIn the abstractTrends in the Causes of Meningitis/Encephalitis Analyzed Using the BioFire FilmArray PanelYoung Jun Hong, Bo Kyeung Jung, Jae Kyung KimCerebrospinal Fluid (CSF) infections can be caused by various pathogens, including bacteria, viruses, and fungi. Therefore, accurate and timely detection of infectious agents is critical for the effective treatment of CSF infections. The FilmArray Meningitis/Encephalitis (M/E) panel is a potential complementary diagnostic tool for detecting CSF pathogens. The aim of this study was to identify trends in the causes of … …American Journal of Biochemistry and Biotechnology, Vol. 20, Issue 3 · 25 Jul 2024 · 4,884 accessesView PDFCite
Case ReportOpen accessIn the abstractLessons Learned: Barriers to Hemoglobin A1c Monitoring in Rural Northern TanzaniaAndrea Fortson Knopp, Erika Metzler SawinIn sub-Saharan countries, Non-communicable Chronic Diseases (NCDs), including diabetes, are on the rise. Glycated hemoglobin (HbA1c) is a Point Of Care (POC) diagnostic tool for diabetic monitoring that is unavailable in many resource-constrained environments worldwide. Theoretically, HbA1c measurement is practical in these settings because fasting is not required, the test is not generally repeated before 120 days and travel time … …International Journal of Research in Nursing, Vol. 11, Issue 1 · 8 Jan 2021 · 6,228 accessesView PDFCite
Review ArticleOpen accessIn the abstractThe Use of Eye Tracking in Assessing Visual AttentionAyiei AyieiIn aviation, procedural errors persist despite pilots having the correct knowledge and ability to perform particular flight tasks. These errors can be attributed to diagnostic errors, inaccurate situational assessment and poor hazard awareness. Eye tracking has emerged as a technology that can be used to monitor pilot performance and provide insights into attentional distribution and the underlying decisional processes. The … …Journal of Aircraft and Spacecraft Technology, Vol. 4, Issue 1 · 4 Sep 2020 · 7,424 accessesView PDFCite
Research ArticleOpen accessIn the abstractWhy Continue Studying HRP2 and HRP3 in Malaria?María Luz Gunturiz, Pablo Enrique Chaparro, Gabriel Carrasquilla, Mónica Marcela JiménezThe main malaria control strategy is rapid and accurate diagnosis followed by effective treatment. The quality of the diagnosis is relevant, since an erroneous diagnosis can generate an increase in morbidity and mortality significantly. The World Health Organization (WHO) has recommended that all patients with suspected malaria be diagnosed by microscopy or a Rapid Diagnostic Test (RDT) before treatment. Microscopy … …American Journal of Infectious Diseases, Vol. 16, Issue 3 · 24 Aug 2020 · 6,897 accessesView PDFCite
Research ArticleOpen accessIn the abstractDetection of Pulmonary Nodules in ct Images Using Deep Learning TechniqueSanthi Balachandran, Divya, Nithya Rajendran, Brindha GiriLung Cancer is one of the most deadly diseases worldwide. According to the American Cancer Society, about 234,030 peoples have been suffering from lung cancer. It can be cured if it is diagnosed earlier which decreases the death rate. A computational diagnostic tool named Computer Aided Diagnosis (CAD) is used to detect pulmonary nodules. Extensive work has been made in … …Journal of Computer Science, Vol. 16, Issue 4 · 15 Apr 2020 · 7,816 accessesView PDFCite
Research ArticleOpen accessIn the abstractExplainability Aware Heterogeneous Temporal Graph Transformer for Automated Genetic Disorder Detection from Genomic DataPuvaneswari Subramaniapillai, Indirani Govindasamy, Revathy GurumurthyGenetic disorders affect millions worldwide, posing major challenges for accurate diagnosis and effective treatments. New developments in genomic technologies, especially Next-Generation Sequencing (NGS), have enhanced the classification of genetic modification and improved diagnostic abilities. Moreover, the Machine Learning (ML) and Deep Learning (DL) methods emerged as efficient tools for evaluating the intricate genomic data and determining the patterns, which can … …Journal of Computer Science, Vol. 22, Issue 11 · 14 Oct 2026 · 566 accessesView PDFCite