Artificial Intelligence in Point-of-Care Testing

被引:11
作者
Khan, Adil I. [1 ,4 ]
Khan, Mazeeya [2 ,3 ]
Khan, Raheeb [1 ]
机构
[1] Temple Univ, Lewis Katz Sch Med, Dept Pathol & Lab Med, Philadelphia, PA USA
[2] London Sch Hyg & Trop Med, Fac Infect & Trop Dis, Dept Infect Biol, London, England
[3] Newcastle Univ, Fac Med Sci, Sch Dent Sci, Newcastle Upon Tyne, England
[4] Temple Univ, Lewis Katz Sch Med, Dept Pathol & Lab Med, 3401 North Broad St, Philadelphia, PA 19140 USA
关键词
Artificial intelligence; Point-of-care testing; Lateral flow immunoassay; Immu-noassay; Hematology; Bright-field microscopy; Microscopy; Convolutional neural network; Malaria; Hemoglobin; Anemia; ASSAY;
D O I
10.3343/alm.2023.43.5.401
中图分类号
R446 [实验室诊断]; R-33 [实验医学、医学实验];
学科分类号
1001 ;
摘要
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 ad-dress 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.
引用
收藏
页码:401 / 407
页数:7
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