134 articles for “clinical diagnosis”

Research ArticleOpen accessPhrase in the titleGranulomatous Amoebic Encephalitis: Clinical Diagnosis and ManagementNaveed Ahmed KhanGranulomatous amoebic encephalitis (GAE) is a serious human disease with fatal consequences. With the mortality rate of more than 90%, it is not surprising that the majority of GAE infections are identified at the post-mortem stage. The most distressing aspect is that the high level of mortality is attributed to lack of awareness. Early diagnosis with aggressive treatment can lead … …American Journal of Infectious Diseases, Vol. 1, Issue 2 · 30 Jun 2005 · 7,187 accessesView PDF Cite

Research ArticleOpen accessPhrase in the titleA Robust Medical Image Fusion Based on Synthetic Focusing Degree Criterion and Special Kernel Set for Clinical DiagnosisDawa Chyophel Lepcha, Bhawna Goyal, Ayush Dogra et al.Medical imaging has been widely used to diagnose diseases over the last two decades. Medical professionals still struggle to diagnose diseases using a single modality since there is a shortage of data in this domain. Therefore, images of specific organs with diseases from a variety of medical imaging systems can be combined using a technique called image fusion. Medical image … …Journal of Computer Science, Vol. 20, Issue 4 · 6 Feb 2024 · 5,625 accessesView PDF Cite

Research ArticleOpen accessEvery word in the titleApplications of Real-time Reverse Transcription Polymerase Chain Reaction in Clinical Virology Laboratories for the Diagnosis of Human DiseasesR. Manojkumar, V. MrudulaEarly diagnosis that prevents further expansion of the causative agent and thereby aids control and eradication of infectious agents is critical for countries trying to obtain a particular disease free status. In these diagnostics speed is paramount, including the assay’s applicability, sensitivity, specificity, cost effectiveness and patentability. Real-time Reverse Transcription PCR (rRT-PCR) has revolutionized the field of molecular biology and … …American Journal of Infectious Diseases, Vol. 2, Issue 4 · 31 Dec 2006 · 6,553 accessesView PDF Cite

Research ArticleOpen accessEvery word in the titleUsing Deep Learning to Support Clinical Decision-Making: The Case of Alzheimer’s Disease DiagnosisNawal Mohamed Bahy Eldin, Ghada A. El Khayat, Abeer A. AmerAlzheimer’s disease is a chronic, progressive brain disorder that leads to a gradual decline in memory and cognitive functions. In this study, N-VGG16, an advanced deep learning model, is proposed. The model builds upon the VGG16 architecture, incorporating key enhancements to improve its ability to classify neurodegenerative conditions. The model processes structural neuroimaging data using a refined pipeline that applies … …Journal of Computer Science, Vol. 21, Issue 10 · 11 Dec 2025 · 3,383 accessesView PDF Cite

Research ArticleOpen accessEvery word in the titleAnalysis of Interferon-Gamma Release Assay Results for Latent Tuberculosis Infection Diagnosis at a Referral Clinical Laboratory in South KoreaTae Soung Kim, Ga Yeon Kim, Young Ki Lee, Jae Kyung KimThe world health organization states that individuals with Latent Tuberculosis Infection (LTBI) are infected with Tuberculosis (TB) bacteria but do not show symptoms of active disease. However, they are at possibility of developing vigorous TB and potentially transmitting the illness to others. In 2018, South Korea reported a 14.8% positivity rate in LTBI screening, with higher rates observed among older … …American Journal of Biochemistry and Biotechnology, Vol. 19, Issue 4 · 25 Oct 2023 · 6,033 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsONCODIAG Select and Test (ST) Algorithm: An Approximate Clinical Reasoning Model for Diagnosing and Monitoring Breast CancerO.N. Oyelade, A.A. Obiniyi, S.B. JunaiduClinical reasoning involves coordinated thinking strategies targeted at gathering and analyzing relevant information to arrive at a high-quality clinical solution to patients' medical problems. The correctness and proper choice of clinical reasoning approach chosen by a clinician or machine affect the accuracy and acceptability of the diagnosis; moreover, another challenge that usually surfaces during clinical reasoning is the burden of … …Current Research in Bioinformatics, Vol. 9, Issue 1 · 22 Feb 2020 · 8,936 accessesView PDF Cite

Review ArticleOpen accessIn the keywordsBig Data in Medical Applications and Health CareLidong Wang, Cheryl Ann AlexanderBig Data can unify all patient related data to get a 360-degree view of the patient to analyze and predict outcomes. It can improve clinical practices, new drug development and health care financing process. It offers a lot of benefits such as early disease detection, fraud detection and better healthcare quality and efficiency. This paper introduces the Big Data concept … …Current Research in Medicine, Vol. 6, Issue 1 · 15 May 2015 · 14,953 accessesView PDF Cite

Literature ReviewOpen accessIn the abstractIntracranial Atherosclerotic Disease: Treatment Potential and Diagnostic OpportunitiesAnastasia Vladimirovna Poznyak, Victoria Alexandrovna Khotina, Anton Yuvenalievich Postnov et al.Atherosclerosis, characterized by the accumulation of atherosclerotic plaques within large arteries, substantially increases the risk of cardiovascular events, including ischemic stroke. Intracranial atherosclerotic disease (ICAD) represents a particularly significant clinical threat given its strong association with ischemic stroke across multiple intracranial arterial territories. This review provides a comprehensive analysis of the pathogenesis, diagnosis, and management of intracranial atherosclerosis. Special attention … …OnLine Journal of Biological Sciences, Vol. 26, Issue 1 · 5 May 2026 · 1,093 accessesView PDF Cite

Research ArticleOpen accessIn the abstractIoT-Integrated CNN Deep Learning for Automated Breast Cancer Detection and DiagnosisYamini Kalva, R. Ganesh Babu, Sindhu V. et al.Breast cancer continues to be a primary cause of death in women, requiring prompt and accurate diagnosis to enhance treatment results. Traditional diagnostic techniques depend on manual assessment, which leads to possible misclassification, significant inter-observer variability, and delays in decision-making. Current deep learning models, including CNNs, frequently experience feature loss, gradient declining and restricted adaptability to real-time data. To overcome … …Journal of Computer Science, Vol. 22, Issue 4 · 30 Mar 2026 · 1,753 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA Comprehensive Review of Medical Image Denoising: Techniques, Challenges, Applications and Future DirectionsMohit Sharma, Ayush Dogra, Anita Gupta et al.The concept of noise reduction in medical images plays a vital role in improving image quality and accuracy associated with diagnosis, and facilitating reliable automated analysis. This survey presents a structured overview of medical image denoising, beginning with foundational definitions and noise models for modalities such as MRI and CT. We critically evaluate persistent gaps, including the limited generalizability of … …Journal of Computer Science, Vol. 22, Issue 3 · 28 Mar 2026 · 1,849 accessesView PDF Cite