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Artificial Intelligence in Point-of-Care Testing.

Adil I Khan¹, Mazeeya Khan², Raheeb Khan¹

¹Department of Pathology and Laboratory Medicine, Lewis Katz School of Medicine, Temple University, Philadelphia, USA.

Annals of Laboratory Medicine

|April 20, 2023

Summary

Artificial intelligence (AI) can address healthcare challenges in remote areas. AI in point-of-care testing improves diagnostics in areas lacking hospitals and skilled staff.

Keywords:

Anemia Artificial intelligence Bright-field microscopy Convolutional neural network Hematology Hemoglobin Immunoassay Lateral flow immunoassay Malaria Microscopy Point-of-care testing

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Area of Science:

Laboratory medicine
Medical diagnostics
Artificial intelligence applications

Background:

Global population growth strains existing healthcare models.
Rural and remote areas face significant healthcare access barriers.
Lack of facilities, trained personnel, and quality control hinder diagnostics.

Purpose of the Study:

To review the applications of artificial intelligence (AI) in point-of-care testing (POCT).
To highlight AI's potential to overcome healthcare challenges in underserved regions.

Main Methods:

Review of current literature on AI in POCT.
Focus on AI applications in lateral flow immunoassays, microscopy, and hematology.

Main Results:

AI demonstrates significant potential in enhancing POCT.
Specific applications include improved accuracy and accessibility in diagnostics.
AI integration addresses limitations in resource-constrained settings.

Conclusions:

AI-powered POCT offers a viable solution for global healthcare challenges.
This technology can expand access to quality diagnostics in remote areas.
AI is transforming laboratory medicine towards more accessible and efficient testing.