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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Korean Society for Laboratory Medicine
2023
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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. |
format | Online Article Text |
id | pubmed-10151281 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Korean Society for Laboratory Medicine |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT khanadili artificialintelligenceinpointofcaretesting AT khanmazeeya artificialintelligenceinpointofcaretesting AT khanraheeb artificialintelligenceinpointofcaretesting |