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  1. Article ; Online: Case Report: Utilizing AI and NLP to Assist with Healthcare and Rehabilitation During the COVID-19 Pandemic.

    Carriere, Jay / Shafi, Hareem / Brehon, Katelyn / Pohar Manhas, Kiran / Churchill, Katie / Ho, Chester / Tavakoli, Mahdi

    Frontiers in artificial intelligence

    2021  Volume 4, Page(s) 613637

    Abstract: The COVID-19 pandemic has profoundly affected healthcare systems and healthcare delivery worldwide ... Machine Learning (AI/ML) technologies, such as Natural Language Processing (NLP), can be used to assist ... spread of COVID-19, while the research, development, and testing of antiviral treatments and vaccines are ...

    Abstract The COVID-19 pandemic has profoundly affected healthcare systems and healthcare delivery worldwide. Policy makers are utilizing social distancing and isolation policies to reduce the risk of transmission and spread of COVID-19, while the research, development, and testing of antiviral treatments and vaccines are ongoing. As part of these isolation policies, in-person healthcare delivery has been reduced, or eliminated, to avoid the risk of COVID-19 infection in high-risk and vulnerable populations, particularly those with comorbidities. Clinicians, occupational therapists, and physiotherapists have traditionally relied on in-person diagnosis and treatment of acute and chronic musculoskeletal (MSK) and neurological conditions and illnesses. The assessment and rehabilitation of persons with acute and chronic conditions has, therefore, been particularly impacted during the pandemic. This article presents a perspective on how Artificial Intelligence and Machine Learning (AI/ML) technologies, such as Natural Language Processing (NLP), can be used to assist with assessment and rehabilitation for acute and chronic conditions.
    Language English
    Publishing date 2021-02-12
    Publishing country Switzerland
    Document type Journal Article
    ISSN 2624-8212
    ISSN (online) 2624-8212
    DOI 10.3389/frai.2021.613637
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Case Report

    Jay Carriere / Hareem Shafi / Katelyn Brehon / Kiran Pohar Manhas / Katie Churchill / Chester Ho / Mahdi Tavakoli

    Frontiers in Artificial Intelligence, Vol

    Utilizing AI and NLP to Assist with Healthcare and Rehabilitation During the COVID-19 Pandemic

    2021  Volume 4

    Abstract: The COVID-19 pandemic has profoundly affected healthcare systems and healthcare delivery worldwide ... Machine Learning (AI/ML) technologies, such as Natural Language Processing (NLP), can be used to assist ... spread of COVID-19, while the research, development, and testing of antiviral treatments and vaccines are ...

    Abstract The COVID-19 pandemic has profoundly affected healthcare systems and healthcare delivery worldwide. Policy makers are utilizing social distancing and isolation policies to reduce the risk of transmission and spread of COVID-19, while the research, development, and testing of antiviral treatments and vaccines are ongoing. As part of these isolation policies, in-person healthcare delivery has been reduced, or eliminated, to avoid the risk of COVID-19 infection in high-risk and vulnerable populations, particularly those with comorbidities. Clinicians, occupational therapists, and physiotherapists have traditionally relied on in-person diagnosis and treatment of acute and chronic musculoskeletal (MSK) and neurological conditions and illnesses. The assessment and rehabilitation of persons with acute and chronic conditions has, therefore, been particularly impacted during the pandemic. This article presents a perspective on how Artificial Intelligence and Machine Learning (AI/ML) technologies, such as Natural Language Processing (NLP), can be used to assist with assessment and rehabilitation for acute and chronic conditions.
    Keywords COVID-19 ; artificial intelligence ; natural language processing ; smart health ; neuromusculoskeletal rehabilitation ; Electronic computers. Computer science ; QA75.5-76.95
    Subject code 360
    Language English
    Publishing date 2021-02-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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