ArticleVirchows Archiv : an international journal of pathology2024
Swiss digital pathology recommendations: results from a Delphi process conducted by the Swiss Digital Pathology Consortium of the Swiss Society of Pathology.
Article in Virchows Archiv : an international journal of pathology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Guidelines for the adoption of digital pathology in clinical pathology units recommended by the polish society of pathologists.Diagnostic pathology · 2026Guideline
- Practical considerations for pathologists when selecting digital pathology systems: an ESDIP guide.The Journal of pathology · 2026Review
- A guide for the deployment, validation, and accreditation of clinical digital pathology tools.Journal of pathology informatics · 2026Article
- Toward a regional digital pathology network in Tuscany: current status and implementation roadmap.Virchows Archiv : an international journal of pathology · 2026Article
- From compliance to clinical value: an EU AI Act-aligned playbook for digital pathology laboratories.Virchows Archiv : an international journal of pathology · 2025Article
- Digital transformation of pathology - the European Society of Pathology expert opinion paper.Virchows Archiv : an international journal of pathology · 2025Article
- Integrating transcriptomics, single-cell omics, and deep learning-based histopathological features to identifyTranslational andrology and urology · 2025Article
- Lossy DICOM conversion may affect AI performance.Scientific reports · 2025Article
- Digital image analysis and artificial intelligence in pathology diagnostics-the Swiss view.Pathologie (Heidelberg, Germany) · 2023Review
- Global trends in the use of artificial intelligence for urological tumor histopathology: A 20-year bibliometric analysis.Digital healthReview
Corrections and comments
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Authors and funding
23 authors.
Funding
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Abstract
Integration of digital pathology (DP) into clinical diagnostic workflows is increasingly receiving attention as new hardware and software become available. To facilitate the adoption of DP, the Swiss Digital Pathology Consortium (SDiPath) organized a Delphi process to produce a series of recommendations for DP integration within Swiss clinical environments. This process saw the creation of 4 working groups, focusing on the various components of a DP system (1) scanners, quality assurance and validation of scans, (2) integration of Whole Slide Image (WSI)-scanners and DP systems into the Pathology Laboratory Information System, (3) digital workflow-compliance with general quality guidelines, and (4) image analysis (IA)/artificial intelligence (AI), with topic experts for each recruited for discussion and statement generation. The work product of the Delphi process is 83 consensus statements presented here, forming the basis for "SDiPath Recommendations for Digital Pathology". They represent an up-to-date resource for national and international hospitals, researchers, device manufacturers, algorithm developers, and all supporting fields, with the intent of providing expectations and best practices to help ensure safe and efficient DP usage.
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