{"title":"护理点测试中的人工智能。","authors":"Adil I Khan, Mazeeya Khan, Raheeb Khan","doi":"10.3343/alm.2023.43.5.401","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":8421,"journal":{"name":"Annals of Laboratory Medicine","volume":"43 5","pages":"401-407"},"PeriodicalIF":4.0000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/de/0e/alm-43-5-401.PMC10151281.pdf","citationCount":"5","resultStr":"{\"title\":\"Artificial Intelligence in Point-of-Care Testing.\",\"authors\":\"Adil I Khan, Mazeeya Khan, Raheeb Khan\",\"doi\":\"10.3343/alm.2023.43.5.401\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":8421,\"journal\":{\"name\":\"Annals of Laboratory Medicine\",\"volume\":\"43 5\",\"pages\":\"401-407\"},\"PeriodicalIF\":4.0000,\"publicationDate\":\"2023-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/de/0e/alm-43-5-401.PMC10151281.pdf\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annals of Laboratory Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.3343/alm.2023.43.5.401\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MEDICAL LABORATORY TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Laboratory Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3343/alm.2023.43.5.401","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICAL LABORATORY TECHNOLOGY","Score":null,"Total":0}
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.
期刊介绍:
Annals of Laboratory Medicine is the official journal of Korean Society for Laboratory Medicine. The journal title has been recently changed from the Korean Journal of Laboratory Medicine (ISSN, 1598-6535) from the January issue of 2012. The JCR 2017 Impact factor of Ann Lab Med was 1.916.