Digital pathology and AI: enhancing molecular diagnostics in low- and middle-income countries

Strategic integration of Digital Pathology (DP) and Artificial Intelligence (AI) offers an unparalleled opportunity to transform molecular diagnostics in LMICs. By providing scalable, objective, and accessible capabilities, these technologies can significantly improve public health outcomes and medical research. However, successful adoption demands targeted investment in digital infrastructure, capacity building, robust ethics, and public-private partnerships. Prioritizing direct clinical utility and molecular diagnostic applications is key to sustainable implementation and equitable access to advanced diagnostics.

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Publication Details

Journal
Expert Review of Molecular Diagnostics
Published
2025-10-28
DOI
https://doi.org/10.1080/14737159.2025.2581687
Citations
1
Primary Topic
Genetics, Bioinformatics, and Biomedical Research
Type
article
Field-Weighted Citation Impact
0.81
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Digital pathology and AI: enhancing molecular diagnostics in low- and middle-income countries

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Digital pathology and AI: enhancing molecular diagnostics in low- and middle-income countries

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article en
1 citations

Abstract

Strategic integration of Digital Pathology (DP) and Artificial Intelligence (AI) offers an unparalleled opportunity to transform molecular diagnostics in LMICs. By providing scalable, objective, and accessible capabilities, these technologies can significantly improve public health outcomes and medical research. However, successful adoption demands targeted investment in digital infrastructure, capacity building, robust ethics, and public-private partnerships. Prioritizing direct clinical utility and molecular diagnostic applications is key to sustainable implementation and equitable access to advanced diagnostics.

Expert Review of Molecular DiagnosticsVol. 25(12)
University College Dublin (IE), Singapore General Hospital (SG), Duke-NUS Medical School (SG), Cancer Research Center (US), Grameenphone (Bangladesh) (BD)
Openalex Percentile: Top 22%
Genetics, Bioinformatics, and Biomedical Research
0.81
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