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  • Open Access

    REVIEW

    Important Newborn Cardiac Diagnostic Dilemmas for the Neonatologist and Cardiologist–A Clinical Perspective

    Samuel Menahem1,2,*, Arvind Sehgal3,4

    Congenital Heart Disease, Vol.16, No.2, pp. 189-196, 2021, DOI:10.32604/CHD.2021.014903

    Abstract Most congenital heart disease (CHD) is readily recognisable in the newborn. Forewarned by previous fetal scanning, the presence of a murmur, tachypnoea, cyanosis and/or differential pulses and saturations all point to a cardiac abnormality. Yet serious heart disease may be missed on a fetal scan. There may be no murmur or clinical cyanosis, and tachypneoa may be attributed to non-cardiac causes. Tachypnoea on day 1 is usually non-cardiac except arising from ventricular failure or a large systemic arteriovenous fistula. A patent ductus arteriosus (PDA) may support either pulmonary or systemic duct dependent circulations. The initially high pulmonary vascular resistance (PVR)… More >

  • Open Access

    REVIEW

    A Comprehensive Review on Medical Diagnosis Using Machine Learning

    Kaustubh Arun Bhavsar1, Ahed Abugabah2, Jimmy Singla1,*, Ahmad Ali AlZubi3, Ali Kashif Bashir4, Nikita5

    CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 1997-2014, 2021, DOI:10.32604/cmc.2021.014943

    Abstract The unavailability of sufficient information for proper diagnosis, incomplete or miscommunication between patient and the clinician, or among the healthcare professionals, delay or incorrect diagnosis, the fatigue of clinician, or even the high diagnostic complexity in limited time can lead to diagnostic errors. Diagnostic errors have adverse effects on the treatment of a patient. Unnecessary treatments increase the medical bills and deteriorate the health of a patient. Such diagnostic errors that harm the patient in various ways could be minimized using machine learning. Machine learning algorithms could be used to diagnose various diseases with high accuracy. The use of machine… More >

  • Open Access

    ARTICLE

    Image-Based Automatic Diagnostic System for Tomato Plants Using Deep Learning

    Shaheen Khatoon1,*, Md Maruf Hasan1, Amna Asif1, Majed Alshmari1, Yun-Kiam Yap2

    CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 595-612, 2021, DOI:10.32604/cmc.2021.014580

    Abstract Tomato production is affected by various threats, including pests, pathogens, and nutritional deficiencies during its growth process. If control is not timely, these threats affect the plant-growth, fruit-yield, or even loss of the entire crop, which is a key danger to farmers’ livelihood and food security. Traditional plant disease diagnosis methods heavily rely on plant pathologists that incur high processing time and huge cost. Rapid and cost-effective methods are essential for timely detection and early intervention of basic food threats to ensure food security and reduce substantial economic loss. Recent developments in Artificial Intelligence (AI) and computer vision allow researchers… More >

  • Open Access

    ARTICLE

    Breast Cancer: Delays of Access to Diagnosis and Treatment Retrospective Study–Batna, Algeria August 2015–February 2016
    Cancer du Sein: Délais d’Accès au Diagnostic et aux Traitements Etude Rétrospective–Batna, Algérie Août 2015–Février 2016

    Fadhila Mansour1,2,*, Abdelhak Lakehal2,3, Lahcène Nezzal2,3

    Oncologie, Vol.22, No.3, pp. 117-128, 2020, DOI:10.32604/oncologie.2020.014979

    Abstract The objective of this study was to quantify the delays in access to diagnosis and treatment of women with breast cancer who are managed at the anticancer center of Batna, Algeria. This was a descriptive retrospective study conducted during the period August 2015 to February 2016. In order to trace the history of the journey from the first signs of cancer to the first treatments, a questionnaire was filled in from the medical files and completed by an interview with the patients. A total of 267 patients were included in the study. The median time to management was 4.5 months.… More >

  • Open Access

    ARTICLE

    Diagnostic Errors in Fetal Echocardiography and the Effect on Neonatal Management: Ten-Year Experience from a Middle-Income Country

    Mohd Nizam Mat Bah*, Mohd Hanafi Sapian, Hasliza Razak, Emieliyuza Yusnita Alias

    Congenital Heart Disease, Vol.15, No.4, pp. 203-216, 2020, DOI:10.32604/CHD.2020.013057

    Abstract Introduction: Fetal echocardiogram allows early detection of critical congenital heart disease leading to a better outcome. However, data from lowerand middle-income countries is scarce. This study aims to evaluate the diagnostic error of fetal echocardiography and its impact on planned neonatal management. Methods and material: This retrospective observational cohort study includes all high-risk pregnant mothers who had fetal echocardiograms from 2008 to 2017. Fetal and postnatal echocardiograms were compared, while the diagnostic errors were categorized into false positive, false negative, and discrepant diagnoses. The impact of the diagnostic error on planned neonatal management and the long-term outcome was determined by… More >

  • Open Access

    ARTICLE

    Diagnostic Performance of Serum miR-586 and miR-493 in Patients with Osteosarcoma

    Hao Dang*

    Oncologie, Vol.22, No.1, pp. 35-42, 2020, DOI:10.32604/oncologie.2020.012485

    Abstract This study aimed to explore the expression and diagnostic performance of miR-586 and miR-493 in patients with osteosarcoma. We enrolled 63 patients with osteosarcoma treated between May 2016 and May 2019 as the experimental group and 55 healthy volunteers who underwent physical examination during the same period as the control group. We detected miR-586 and miR-493 expression in serum, normal bone tissue, and tumor samples. We also evaluated the relationship between clinical indicators and the miR-586 and miR-493 expression levels. The correlation between the serum and osteosarcoma tissue expression of miR-586 and miR-493 was examined by Pearson analysis. Furthermore, the… More >

  • Open Access

    ARTICLE

    Inaccuracy of a continuous arterial pressure waveform monitor when used for congenital cardiac catheterization

    Michael D. Seckeler1, Katri Typpo2, Jendar Deschenes2, Ruth Higgins3, Ricardo Samson1, Peter Lichtenthal4

    Congenital Heart Disease, Vol.12, No.6, pp. 815-819, 2017, DOI:10.1111/chd.12517

    Abstract Objective: To determine the accuracy of a continuous cardiac output monitor (FloTrac sensor) for measuring cardiac index in children with congenital heart disease undergoing cardiac catheterization. Cardiac index is a critical hemodynamic parameter measured during catheterizations in children with congenital heart disease. This has been challenging to measure accurately and many clinicians rely on predictive equations for calculating cardiac index.
    Design: Prospective, nonrandomized trial.
    Setting: Tertiary care congenital heart center.
    Patients: Consecutive participants ≤18 years old undergoing clinically indicated cardiac catheterizations from September 2014 through August 2015.
    Interventions: Oxygen consumption was measured using the Vmax Encore 229 monitor attached to… More >

  • Open Access

    ARTICLE

    Changing prevalence of severe congenital heart disease: Results from the National Register for Congenital Heart Defects in Germany

    Constanze Pfitzer1,2,3, Paul C. Helm4, Hannah Ferentzi1,5, Lisa-Maria Rosenthal1, Ulrike M. M. Bauer4,6, Felix Berger1,3,7, Katharina R. L. Schmitt1,3

    Congenital Heart Disease, Vol.12, No.6, pp. 787-793, 2017, DOI:10.1111/chd.12515

    Abstract Objective: To assess the prevalence of congenital heart disease (CHD) in Germany in relation to phenotypes, severity and gender.
    Design: Cross-sectional registry study.
    Setting: We analyzed data from patients with CHD born between 1996 and 2015.
    Patients: A total of 26 630 patients, registered with the NRCHD, were born between 1996 and 2015. 10 927 patients were excluded from the current analysis due to prior registration with the NRCHD under the German PAN Prevalence Study, which showed a potential bias in the inclusion of this patient population (proportion of mild cardiac lesions was comparatively high due to improved diagnostic capability… More >

  • Open Access

    ARTICLE

    Appropriateness and diagnostic yield of inpatient pediatric echocardiograms

    Sean M. Lang1,2,3, Elijah Bolin1,2,3, Joshua A. Daily1,2,3, Xinyu Tang1,2,3, R. Thomas Collins II1,2,3

    Congenital Heart Disease, Vol.12, No.2, pp. 210-217, 2017, DOI:10.1111/chd.12428

    Abstract Objective: Multiple reports have shown echocardiograms for certain indications are neither costeffective nor of high diagnostic yield. Given the ease with which tests can be obtained at a tertiary academic children’s hospital, our aims were to: (1) determine the diagnostic yield of inpatient studies by in-hospital location; (2) evaluate inpatient echocardiograms to determine indications and level of appropriateness; and (3) evaluate the frequency of cardiology involvement prior to those echocardiograms.
    Design: All initial inpatient echocardiograms interpreted at our institution from February 2009 to December 2014 were reviewed retrospectively. Patient location was grouped as pediatric intensive care (PICU), emergency department (ED),… More >

  • Open Access

    REVIEW

    Overview of genetic causes of recurrent miscarriage and the diagnostic approach

    Tarek A ATIA

    BIOCELL, Vol.43, No.4, pp. 253-262, 2019, DOI:10.32604/biocell.2019.08180

    Abstract Recurring miscarriage (RM) is a frustrating reproductive complication with variable etiology. Numerous genetic defects have been known to play a crucial role in the etiology of RM. Chromosomal abnormalities are frequently detected, while other genetic defects cannot be diagnosed through routine research, such as cryptic chromosomal anomalies, single nucleotide polymorphism, single-gene defect, and gene copy number variation. Diagnostic laboratories have recently used variable advanced techniques to detect potential genetic abnormalities in couples with RM and/or in products of conception. Here we aim to summarize the known genetic causes of RM, with a focus on the new diagnostic techniques. Knowledge of… More >

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