SARS-CoV-2 Point-of-Care Testing Modalities: Integrating Molecular, Immunological, Biosensor, and AI Approaches

The coronavirus disease 2019 (COVID-19) pandemic highlighted the critical need for rapid, accessible, and accurate diagnostic tools to support timely clinical decision-making, outbreak control, and public health surveillance. Point-of-care testing (POCT) has emerged as an essential component of decentralized healthcare by enabling diagnostic testing outside conventional laboratory settings. This review was based on a structured literature search of PubMed, Scopus, and Web of Science databases covering studies published between January 2020 and January 2026. The review evaluates current advances in COVID-19 POCT technologies, including molecular assays, antigen-based tests, antibody-based assays, biosensor platforms, and artificial intelligence (AI)-assisted diagnostic approaches. Molecular POCT methods, including rapid reverse transcription polymerase chain reaction (RT-PCR), loop-mediated isothermal amplification (LAMP), and CRISPR-based technologies, provide high analytical sensitivity and specificity and are increasingly suitable for decentralized diagnostic applications. Antigen-based assays offer rapid and cost-effective screening solutions, although diagnostic performance may vary depending on viral load, symptom onset, and circulating variants. Antibody-based POCT remains valuable for seroprevalence studies, retrospective diagnosis, and immune-response monitoring rather than acute infection detection. Emerging biosensor technologies and AI-enabled diagnostic systems demonstrate promising analytical capabilities and operational advantages; however, many remain at the prototype or early-validation stage and require further clinical evaluation before widespread implementation. The findings indicate that no single POCT modality is optimal for all clinical scenarios. Instead, molecular, antigen, antibody, biosensor, and AI-assisted approaches provide complementary strengths that support different diagnostic and public health objectives. Continued advances in assay design, digital connectivity, multiplex testing, and variant-resilient detection strategies are expected to further enhance the role of POCT in COVID-19 management and future infectious disease preparedness.

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Publication Details

Journal
Diagnostics
Published
2026-07-30
DOI
https://doi.org/10.3390/diagnostics16152402
Primary Topic
SARS-CoV-2 detection and testing
Type
article
Field-Weighted Citation Impact
0.00

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article

SARS-CoV-2 Point-of-Care Testing Modalities: Integrating Molecular, Immunological, Biosensor, and AI Approaches

Ahmed A. Kotb, Ahmad Jamal Mahrous, Salwa Bukhari, ‏Helal F. Hetta et al.
Diagnostics
SARS-CoV-2 detection and testing
article

SARS-CoV-2 Point-of-Care Testing Modalities: Integrating Molecular, Immunological, Biosensor, and AI Approaches

Ahmed A. Kotb, Ahmad Jamal Mahrous, Salwa Bukhari, ‏Helal F. Hetta, Mohammad Al Masri, Zinab Alatawi, Rehab Ahmed, Abdul Haseeb, Mahmoud E. Elrggal
article en

Abstract

The coronavirus disease 2019 (COVID-19) pandemic highlighted the critical need for rapid, accessible, and accurate diagnostic tools to support timely clinical decision-making, outbreak control, and public health surveillance. Point-of-care testing (POCT) has emerged as an essential component of decentralized healthcare by enabling diagnostic testing outside conventional laboratory settings. This review was based on a structured literature search of PubMed, Scopus, and Web of Science databases covering studies published between January 2020 and January 2026. The review evaluates current advances in COVID-19 POCT technologies, including molecular assays, antigen-based tests, antibody-based assays, biosensor platforms, and artificial intelligence (AI)-assisted diagnostic approaches. Molecular POCT methods, including rapid reverse transcription polymerase chain reaction (RT-PCR), loop-mediated isothermal amplification (LAMP), and CRISPR-based technologies, provide high analytical sensitivity and specificity and are increasingly suitable for decentralized diagnostic applications. Antigen-based assays offer rapid and cost-effective screening solutions, although diagnostic performance may vary depending on viral load, symptom onset, and circulating variants. Antibody-based POCT remains valuable for seroprevalence studies, retrospective diagnosis, and immune-response monitoring rather than acute infection detection. Emerging biosensor technologies and AI-enabled diagnostic systems demonstrate promising analytical capabilities and operational advantages; however, many remain at the prototype or early-validation stage and require further clinical evaluation before widespread implementation. The findings indicate that no single POCT modality is optimal for all clinical scenarios. Instead, molecular, antigen, antibody, biosensor, and AI-assisted approaches provide complementary strengths that support different diagnostic and public health objectives. Continued advances in assay design, digital connectivity, multiplex testing, and variant-resilient detection strategies are expected to further enhance the role of POCT in COVID-19 management and future infectious disease preparedness.

DiagnosticsVol. 16(15)
Al-Ahliyya Amman University (JO), Umm al-Qura University (SA), University of Tabuk (SA), Assiut University (EG)
Umm Al-Qura University
Good health and well-being
Openalex Percentile: Top 9%
SARS-CoV-2 detection and testing
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