Case Report: Utilizing AI and NLP to Assist with Healthcare and Rehabilitation During the COVID-19 Pandemic.
COVID-19
artificial intelligence
natural language processing
neuromusculoskeletal rehabilitation
smart health
Journal
Frontiers in artificial intelligence
ISSN: 2624-8212
Titre abrégé: Front Artif Intell
Pays: Switzerland
ID NLM: 101770551
Informations de publication
Date de publication:
2021
2021
Historique:
received:
02
10
2020
accepted:
08
01
2021
entrez:
18
3
2021
pubmed:
19
3
2021
medline:
19
3
2021
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 33733232
doi: 10.3389/frai.2021.613637
pii: 613637
pmc: PMC7907599
doi:
Types de publication
Journal Article
Langues
eng
Pagination
613637Informations de copyright
Copyright © 2021 Carriere, Shafi, Brehon, Pohar Manhas, Churchill, Ho and Tavakoli.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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