با سلام خدمت کاربران در صورتی که با خطای سیستم پرداخت بانکی مواجه شدید از طریق کارت به کارت (6037997535328901 بانک ملی ناصر خنجری ) مقاله خود را دریافت کنید (تا مشکل رفع گردد).
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AI4COVID-19: AI enabled preliminary diagnosis for COVID-19 from cough samples via an app
AI4COVID-19: هوش مصنوعی تشخیص اولیه COVID-19 را از نمونه های سرفه از طریق یک برنامه فعال می کند-2020 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 |
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