Artificial Intelligence in Point-of-Care Testing.

IF 4 2区 医学 Q1 MEDICAL LABORATORY TECHNOLOGY Annals of Laboratory Medicine Pub Date : 2023-09-01 DOI:10.3343/alm.2023.43.5.401
Adil I Khan, Mazeeya Khan, Raheeb Khan
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引用次数: 5

Abstract

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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护理点测试中的人工智能。
随着预计的全球人口增长,当前的医疗保健服务模式将面临严峻挑战。无论是在发达国家还是在发展中国家,农村和偏远地区都面临着同样的挑战:没有医院,缺乏训练有素和熟练的工作人员进行检测,以及不遵守质量保证协议。使用人工智能(AI)的即时测试有望解决这些挑战。在这篇综述中,我们重点介绍了人工智能在护理点检测中的一些关键应用领域,包括侧流免疫测定、明场显微镜和血液学,展示了这一快速扩展的检验医学领域。
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来源期刊
Annals of Laboratory Medicine
Annals of Laboratory Medicine MEDICAL LABORATORY TECHNOLOGY-
CiteScore
8.30
自引率
12.20%
发文量
100
审稿时长
6-12 weeks
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.
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