دانلود مقاله انگلیسی رایگان:AI4COVID-19: هوش مصنوعی تشخیص اولیه COVID-19 را از نمونه های سرفه از طریق یک برنامه فعال می کند - 2020
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  • AI4COVID-19: AI enabled preliminary diagnosis for COVID-19 from cough samples via an app AI4COVID-19: AI enabled preliminary diagnosis for COVID-19 from cough samples via an app
    AI4COVID-19: AI enabled preliminary diagnosis for COVID-19 from cough samples via an app

    سال انتشار:

    2020


    عنوان انگلیسی مقاله:

    AI4COVID-19: AI enabled preliminary diagnosis for COVID-19 from cough samples via an app


    ترجمه فارسی عنوان مقاله:

    AI4COVID-19: هوش مصنوعی تشخیص اولیه COVID-19 را از نمونه های سرفه از طریق یک برنامه فعال می کند


    منبع:

    Sciencedirect - Elsevier - Informatics in Medicine Unlocked, 20 (2020) 100378. doi:10.1016/j.imu.2020.100378


    نویسنده:

    Ali Imran a,b, Iryna Posokhova b,c, Haneya N. Qureshi a, Usama Masood a, Muhammad Sajid Riaz a, Kamran Ali d, Charles N. John a, MD Iftikhar Hussain b,e, Muhammad Nabeel


    چکیده انگلیسی:

    Background: The inability to test at scale has become humanity’s Achille’s heel in the ongoing war against the COVID-19 pandemic. A scalable screening tool would be a game changer. Building on the prior work on coughbased diagnosis of respiratory diseases, we propose, develop and test an Artificial Intelligence (AI)-powered screening solution for COVID-19 infection that is deployable via a smartphone app. The app, named AI4COVID- 19 records and sends three 3-s cough sounds to an AI engine running in the cloud, and returns a result within 2 min. Methods: Cough is a symptom of over thirty non-COVID-19 related medical conditions. This makes the diagnosis of a COVID-19 infection by cough alone an extremely challenging multidisciplinary problem. We address this problem by investigating the distinctness of pathomorphological alterations in the respiratory system induced by COVID-19 infection when compared to other respiratory infections. To overcome the COVID-19 cough training data shortage we exploit transfer learning. To reduce the misdiagnosis risk stemming from the complex dimensionality of the problem, we leverage a multi-pronged mediator centered risk-averse AI architecture. Results: Results show AI4COVID-19 can distinguish among COVID-19 coughs and several types of non-COVID-19 coughs. The accuracy is promising enough to encourage a large-scale collection of labeled cough data to gauge the generalization capability of AI4COVID-19. AI4COVID-19 is not a clinical grade testing tool. Instead, it offers a screening tool deployable anytime, anywhere, by anyone. It can also be a clinical decision assistance tool used to channel clinical-testing and treatment to those who need it the most, thereby saving more lives.
    Keywords: Artificial intelligence | COVID-19 | Preliminary medical diagnosis | Pre-screening | Public healthcare


    سطح: متوسط
    تعداد صفحات فایل pdf انگلیسی: 13
    حجم فایل: 1469 کیلوبایت

    قیمت: رایگان


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