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Artificial Intelligence in Point-of-Care Testing

With the projected increase in the global population, current healthcare delivery models will face severe challenges. Rural and remote areas, whether in developed or developing countries, are characterized by the same challenges: the unavailability of hospitals, lack of trained and skilled staff per...

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Detalles Bibliográficos
Autores principales: Khan, Adil I., Khan, Mazeeya, Khan, Raheeb
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society for Laboratory Medicine 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10151281/
https://www.ncbi.nlm.nih.gov/pubmed/37080740
http://dx.doi.org/10.3343/alm.2023.43.5.401
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author Khan, Adil I.
Khan, Mazeeya
Khan, Raheeb
author_facet Khan, Adil I.
Khan, Mazeeya
Khan, Raheeb
author_sort Khan, Adil I.
collection PubMed
description With the projected increase in the global population, current healthcare delivery models will face severe challenges. Rural and remote areas, whether in developed or developing countries, are characterized by the same challenges: the unavailability of hospitals, lack of trained and skilled staff performing tests, and poor compliance with quality assurance protocols. Point-of-care testing using artificial intelligence (AI) is poised to be able to address these challenges. In this review, we highlight some key areas of application of AI in point-of-care testing, including lateral flow immunoassays, bright-field microscopy, and hematology, demonstrating this rapidly expanding field of laboratory medicine.
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spelling pubmed-101512812023-05-03 Artificial Intelligence in Point-of-Care Testing Khan, Adil I. Khan, Mazeeya Khan, Raheeb Ann Lab Med Review Article With the projected increase in the global population, current healthcare delivery models will face severe challenges. Rural and remote areas, whether in developed or developing countries, are characterized by the same challenges: the unavailability of hospitals, lack of trained and skilled staff performing tests, and poor compliance with quality assurance protocols. Point-of-care testing using artificial intelligence (AI) is poised to be able to address these challenges. In this review, we highlight some key areas of application of AI in point-of-care testing, including lateral flow immunoassays, bright-field microscopy, and hematology, demonstrating this rapidly expanding field of laboratory medicine. Korean Society for Laboratory Medicine 2023-09-01 2023-04-21 /pmc/articles/PMC10151281/ /pubmed/37080740 http://dx.doi.org/10.3343/alm.2023.43.5.401 Text en © Korean Society for Laboratory Medicine https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0 (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Khan, Adil I.
Khan, Mazeeya
Khan, Raheeb
Artificial Intelligence in Point-of-Care Testing
title Artificial Intelligence in Point-of-Care Testing
title_full Artificial Intelligence in Point-of-Care Testing
title_fullStr Artificial Intelligence in Point-of-Care Testing
title_full_unstemmed Artificial Intelligence in Point-of-Care Testing
title_short Artificial Intelligence in Point-of-Care Testing
title_sort artificial intelligence in point-of-care testing
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10151281/
https://www.ncbi.nlm.nih.gov/pubmed/37080740
http://dx.doi.org/10.3343/alm.2023.43.5.401
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