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عضویت

جستجوی مقالات مرتبط با کلیدواژه « computer-assisted diagnosis » در نشریات گروه « پزشکی »

  • I .V. Semernik *_A. V. Dem’Yanenko_F. S.Topalov_O. E .Semernik_A. A. Lebedenko

    In the present work, three versions of implementation of non-invasive bronchial asthma diagnostic system based on the author’s technique of noninvasive diagnosis of bronchopulmonary diseases are considered. The offered variants of diagnostic system can be used both in medical institutions and at patient’s home for the control of the patient’s condition with the purpose of monitoring the dynamics of the disease during treatment, as well as for preventive purposes. Three variants of implementation of the diagnostic system with various complexity are considered. The results of a radiofrequency scanning of a human chest phantom with included heterogeneity simulating the presence of sputum in the human chest is a consequence of bronchial asthma.

    Keywords: Bronchial Diseases, Bronchial Asthma, diagnosis, Computer Assisted Diagnosis, Microwaves, Patient Monitoring, Telemetry, Telemedicine, Diagnostic Imaging, Diagnostic Equipment}
  • Masoud Amanzadeh, Hamid Moghaddasi, Reza Rabiei *, Ali Amini Harandi, Hassan Haghighi
    Introduction
    Alzheimer's disease is one of the most common causes of dementia, which gradually causes cognitive impairment. Diagnosis of Alzheimer's disease is a complicated process performed through several tests and examinations. Design and development of Clinical Decision Support System (CDSS) could be an appropriate approach for eliminating the existing difficulties of diagnosing Alzheimer's disease.
    Materials and Methods
    This study reviews the current problems in the diagnosis of Alzheimer's disease with an approach to the application of CDSS. The study reviewed the articles published from 1990 to 2016. The articles were identified by searching electronic databases such as PubMed, Google Scholar, Science Direct. Considering the relevance of articles with the objectives of the study, 29 papers were selected. According to the performed investigations, various reasons cause difficulty in Alzheimer's diagnosis.
    Results
    The complexity of diagnostic process and the similarity of Alzheimer's disease with other causes of dementia are the most important of them. The results of studies about the application of CDSSs on Alzheimer's disease diagnosis indicated that the implementation of these systems could help to eliminate the existing difficulties in the diagnosis of Alzheimer's disease.
    Conclusion
    Developing CDSSs based on diagnostic guidelines could be regarded as one of the possible approaches towards early and accurate diagnosis of Alzheimer's disease. Applying of computer-interpretable guideline (CIG) models such as GLIF, PROforma, Asbru, and EON can help to design CDSS with the capability of minimizing the burden of diagnostic problems with Alzheimer's disease.
    Keywords: Alzheimer's disease, Dementia, Diagnosis, Clinical Decision Support System, Computer-Assisted Diagnosis}
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