Artificial Intelligence in Point-of-Care Testing.

Journal: Annals of laboratory medicine
PMID: 37080740

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.

Authors

  • Adil I Khan
    Dept. of Pathology & Laboratory Medicine, Lewis Katz School of Medicine, Temple University, Philadelphia, PA, USA.
  • Mazeeya Khan
    Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK.
  • Raheeb Khan
    Department of Pathology and Laboratory Medicine, Lewis Katz School of Medicine, Temple University, Philadelphia, USA.

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