Articles with "diagnosis using" as a keyword



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Arrhythmia diagnosis using a permanent pacemaker

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Published in 2022 at "Journal of Arrhythmia"

DOI: 10.1002/joa3.12728

Abstract: Wide complex tachycardia (WCT) is common. The precise diagnosis of the WCT is frequently unknown prior to embarking on an inva sive catheter ablation procedure. This knowledge may impact pro cedure planning. It is not… read more here.

Keywords: diagnosis; using permanent; diagnosis using; pacemaker ... See more keywords
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Artificial Intelligence-Based Major Depressive Disorder (MDD) Diagnosis Using Raman Spectroscopic Features of Plasma Exosomes.

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Published in 2023 at "Analytical chemistry"

DOI: 10.1021/acs.analchem.3c00215

Abstract: In vitro diagnosis using biomarkers for major depressive disorder (MDD) can offer considerable advantages in overcoming the lack of objective tests for depression and treating more patients. Plasma exosomes can be novel biomarkers for MDD… read more here.

Keywords: mdd diagnosis; diagnosis; plasma exosomes; diagnosis using ... See more keywords
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A Hybrid Deep Learning-Based (HYDRA) Framework for Multifault Diagnosis Using Sparse MDT Reports

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Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3185639

Abstract: Diminishing viability of manual fault diagnosis in the increasingly complex emerging cellular network has motivated research towards artificial intelligence (AI)-based fault diagnosis using the minimization of drive test (MDT) reports. However, existing AI solutions in… read more here.

Keywords: mdt; hybrid deep; diagnosis; deep learning ... See more keywords
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Tuberculosis Diagnosis using Deep Transferred EfficientNet.

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Published in 2022 at "IEEE/ACM transactions on computational biology and bioinformatics"

DOI: 10.1109/tcbb.2022.3199572

Abstract: Tuberculosis is a very deadly disease, with more than half of all tuberculosis cases dead in countries and regions with relatively poor health care resources. Fortunately, the disease is curable, and early diagnosis and medication… read more here.

Keywords: tuberculosis diagnosis; deep transferred; tuberculosis; diagnosis ... See more keywords
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Malaria Diagnosis Using a Lightweight Deep Convolutional Neural Network

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Published in 2022 at "International Journal of Telemedicine and Applications"

DOI: 10.1155/2022/4176982

Abstract: The applications of AI in the healthcare sector are increasing day by day. The application of convolutional neural network (CNN) and mask-region-based CNN (Mask-RCCN) to the medical domain has really revolutionized medical image analysis. CNNs… read more here.

Keywords: neural network; malaria diagnosis; convolutional neural; model ... See more keywords
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Asthma and occupation: Diagnosis using serial peak flow measurements.

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Published in 2018 at "Revista da Associacao Medica Brasileira"

DOI: 10.1590/1806-9282.64.02.95

Abstract: The Guidelines Project, an initiative of the Brazilian Medical Association, aims to combine information from the medical field in order to standardize procedures to assist the reasoning and decision-making of doctors. The information provided through… read more here.

Keywords: using serial; diagnosis using; asthma occupation; peak flow ... See more keywords
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An interpretable multi-task system for clinically applicable COVID-19 diagnosis using CXR.

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Published in 2022 at "Journal of X-ray science and technology"

DOI: 10.3233/xst-221151

Abstract: BACKGROUND With the emergence of continuously mutating variants of coronavirus, it is urgent to develop a deep learning model for automatic COVID-19 diagnosis at early stages from chest X-ray images. Since laboratory testing is time-consuming… read more here.

Keywords: system; cxr; covid; diagnosis using ... See more keywords
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Excluding myeloma diagnosis using revised thresholds for serum free light chain ratios and M-protein levels

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Published in 2019 at "Haematologica"

DOI: 10.3324/haematol.2019.224360

Abstract: In Western Europe in 2016 there were 35,000 new cases of and 22,000 deaths from multiple myeloma.[1][1] Myeloma is one of the worst cancers for delays in diagnosis and half of patients saw their primary… read more here.

Keywords: diagnosis using; myeloma; diagnosis; myeloma diagnosis ... See more keywords
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Advances and challenges in automated malaria diagnosis using digital microscopy imaging with artificial intelligence tools: A review

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Published in 2022 at "Frontiers in Microbiology"

DOI: 10.3389/fmicb.2022.1006659

Abstract: Malaria is an infectious disease caused by parasites of the genus Plasmodium spp. It is transmitted to humans by the bite of an infected female Anopheles mosquito. It is the most common disease in resource-poor… read more here.

Keywords: diagnosis; malaria diagnosis; microscopy; artificial intelligence ... See more keywords
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Melanoma Diagnosis Using Deep Learning and Fuzzy Logic

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Published in 2020 at "Diagnostics"

DOI: 10.3390/diagnostics10080577

Abstract: Melanoma or malignant melanoma is a type of skin cancer that develops when melanocyte cells, damaged by excessive exposure to harmful UV radiations, start to grow out of control. Though less common than some other… read more here.

Keywords: melanoma; diagnosis using; using deep; melanoma diagnosis ... See more keywords
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Hepatitis diagnosis using optimized KD-Trees and Neural Networks

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Published in 2020 at "International journal of engineering research and technology"

DOI: 10.37624/ijert/13.9.2020.2269-2274

Abstract: This article uses two computational techniques to detect Hepatitis, an inflammatory disease that affects the liver. An evaluation of techniques to detect it is presented, including KD-Trees and Neural Networks. The results show that KDTrees… read more here.

Keywords: diagnosis using; optimized trees; neural networks; hepatitis diagnosis ... See more keywords