Artificial Intelligence in Point-of-Care Testing
10.3343/alm.2023.43.5.401
- Author:
Adil I. KHAN
1
;
Mazeeya KHAN
;
Raheeb KHAN
Author Information
1. Department of Pathology and Laboratory Medicine, Lewis Katz School of Medicine, Temple University, Philadelphia, USA
- Publication Type:Review Article
- From:Annals of Laboratory Medicine
2023;43(5):401-407
- CountryRepublic of Korea
- Language:English
-
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.
