Digital pathology: Barriers to transitioning to the digital age

Digital pathology (DP) entails converting physical histologic data into a digital format, ultimately enhancing data transmission, archival, and retrieval. Moreover, digitization serves as an essential prerequisite for utilizing artificial intelligence programs in histologic image analysis. Clinical use of DP has had limited uptake despite its transformative potential and numerous proposed benefits. This paper explores the commonly cited workflow, regulatory, and financial barriers currently hindering DP implementation based on the published experiences of early adopters. It provides an overview of topics including relevant regulatory bodies and guidelines, cost-to-benefit analysis, data management, and the role of artificial intelligence within DP.

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Publication Details

Journal
Digital Health
Published
2026-02-01
DOI
https://doi.org/10.1177/20552076261418364
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Digital pathology: Barriers to transitioning to the digital age

Sanjay Kumar Shukla, Holly Berg, Neil Biswas
Digital Health
AI in cancer detection
article

Digital pathology: Barriers to transitioning to the digital age

Sanjay Kumar Shukla, Holly Berg, Neil Biswas
article en

Abstract

Digital pathology (DP) entails converting physical histologic data into a digital format, ultimately enhancing data transmission, archival, and retrieval. Moreover, digitization serves as an essential prerequisite for utilizing artificial intelligence programs in histologic image analysis. Clinical use of DP has had limited uptake despite its transformative potential and numerous proposed benefits. This paper explores the commonly cited workflow, regulatory, and financial barriers currently hindering DP implementation based on the published experiences of early adopters. It provides an overview of topics including relevant regulatory bodies and guidelines, cost-to-benefit analysis, data management, and the role of artificial intelligence within DP.

Digital HealthVol. 12
Marshfield Clinic (US), University of Wisconsin–Madison (US), Marshfield Clinic (US)
Openalex Percentile: Top 59%
AI in cancer detection
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