Digital pathology in Brazil: preliminary findings from a national pilot survey

Digital pathology (DP) has progressed from early telepathology to integrated ecosystems that include whole‑slide imaging (WSI), archiving, collaboration, and computational analysis, with promised gains in workflow, remote consultation, and AI‑assisted diagnosis. In Latin America, adoption has lagged due to cost, connectivity, and integration barriers. Evidence specific to Brazil remains limited. We conducted a descriptive pilot survey (17‑item Google Forms) disseminated via social media (WhatsApp, Instagram, LinkedIn) to practicing pathologists across Brazil (Oct–Nov 2023). The instrument was conceptually aligned with themes from the review “Digital Pathology in Latin America.” Responses were anonymous; only the region question was mandatory. Twenty-two respondents completed the survey (Southeast 22.7%, Northeast 22.7%, South 18.2%, North 18.2%, Center-West 18.2%). In Brazil, DP adoption remains limited despite optimism about near-term standardization. Cost is the primary barrier, followed by operational feasibility (infrastructure, training), mirroring the Latin-American landscape. To move from basic digitization to AI-enabled transformation, financial models, reimbursement, and market regulation must be addressed alongside technical integration and connectivity.

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Publication Details

Journal
Surgical and Experimental Pathology
Published
2026-01-08
DOI
https://doi.org/10.1186/s42047-025-00215-2
Primary Topic
AI in cancer detection
Type
article
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article

Digital pathology in Brazil: preliminary findings from a national pilot survey

Fabio Daniel Molinari
Surgical and Experimental Pathology
AI in cancer detection
article

Digital pathology in Brazil: preliminary findings from a national pilot survey

Fabio Daniel Molinari
article en

Abstract

Digital pathology (DP) has progressed from early telepathology to integrated ecosystems that include whole‑slide imaging (WSI), archiving, collaboration, and computational analysis, with promised gains in workflow, remote consultation, and AI‑assisted diagnosis. In Latin America, adoption has lagged due to cost, connectivity, and integration barriers. Evidence specific to Brazil remains limited. We conducted a descriptive pilot survey (17‑item Google Forms) disseminated via social media (WhatsApp, Instagram, LinkedIn) to practicing pathologists across Brazil (Oct–Nov 2023). The instrument was conceptually aligned with themes from the review “Digital Pathology in Latin America.” Responses were anonymous; only the region question was mandatory. Twenty-two respondents completed the survey (Southeast 22.7%, Northeast 22.7%, South 18.2%, North 18.2%, Center-West 18.2%). In Brazil, DP adoption remains limited despite optimism about near-term standardization. Cost is the primary barrier, followed by operational feasibility (infrastructure, training), mirroring the Latin-American landscape. To move from basic digitization to AI-enabled transformation, financial models, reimbursement, and market regulation must be addressed alongside technical integration and connectivity.

Surgical and Experimental PathologyVol. 9(1)
Hospital Israelita Albert Einstein (BR)
Industry, innovation and infrastructure
Openalex Percentile: Top 95%
AI in cancer detection
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