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.
Authors
- William M. Gallagher (ORCID: https://orcid.org/0000-0002-4307-5999)
- Arman Rahman (ORCID: https://orcid.org/0000-0003-4648-156X)
- Huifan Shen (ORCID: https://orcid.org/0009-0007-0145-3625)
- Jabed Iqbal (ORCID: https://orcid.org/0000-0003-4137-1791)
- Chee Leong Cheng (ORCID: https://orcid.org/0000-0002-2140-4827)
- Reza Salim
Institutions
- University College Dublin (IE)
- Singapore General Hospital (SG)
- Duke-NUS Medical School (SG)
- Cancer Research Center (US)
- Grameenphone (Bangladesh) (BD)
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