ReviewJournal of pathology informatics2026
Accelerating the implementation of digital pathology in India.
Review in Journal of pathology informatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Digital pathology (DP), which utilizes whole-slide imaging (WSI), adds value to traditional pathology by enabling high-resolution imaging, remote diagnostics, and artificial intelligence (AI)-assisted analysis. Despite its potential, DP adoption in resource-constrained settings, such as India, remains limited. A significant gap exists in understanding the diverse applications of DP, adoption barriers, and cost-effective implementation strategies specific to India's healthcare landscape. Hence, this narrative review explores opportunities for DP application in India, including primary diagnosis, second opinion, telepathology, education, frozen section analysis, AI-assisted diagnostics, data management, and quality assurance. It also examines the hurdles toward widespread adoption, including infrastructure and information technology limitations, high costs, and data security concerns. Limited awareness and apprehensions about job displacement further prevent DP adoption. Addressing these challenges requires a strategic approach, including innovative revenue-generating strategies, targeted training programs, robust data security, and development of high-quality datasets. Further, collaboration among pathologists, healthcare providers, policymakers, and technology developers is essential. With structured implementation and targeted investments, DP can potentially revolutionize pathology services in India, enhancing diagnostic accuracy, reducing turnaround times, and expanding access to specialized care, particularly in underserved regions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.