ReviewVirchows Archiv : an international journal of pathology2024
Cutting-edge technology and automation in the pathology laboratory.
Review 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 21 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
21 citing papers in PubMed.
- GrandQC adaptation as an artificial intelligence tool for quantitative artifact detection in hematoxylin and eosin whole-slide images-Simulation of quality control biopsies day.Journal of pathology informatics · 2026Article
- An AI framework for automated quality control of paraffin block and slide consistency: a clinical evaluation and human-machine comparison study.Virchows Archiv : an international journal of pathology · 2026Article
- Curative-Intent Multimodality Treatment for NSCLC: Will Global Healthcare Systems Rise to the Challenge? A Perspective From the United Kingdom.JTO clinical and research reports · 2026Article
- Directional drift in biologically meaningful vector planes: A proposed geometric framework for early detection of subthreshold disease.PloS one · 2026Article
- Deployment of Artificial Intelligence in Clinical Oral Pathology: Evidence Summary and Implementation Gaps.Analytical cellular pathology (Amsterdam) · 2026Review
- Mapping Manual Laboratory Tasks to Robot Movements in Digital Pathology Workflow.Sensors (Basel, Switzerland) · 2025Article
- The AI-powered pathologist: A global survey mapping initial trends in AI adoption and outlook.Journal of pathology informatics · 2025Article
- The Italian Portrait of Laboratory Information Systems in Pathology: The Ones We Have and the Ones We Would Like.Journal of personalized medicine · 2025Review
- Digital Twins in Personalized Medicine: Bridging Innovation and Clinical Reality.Journal of personalized medicine · 2025Review
- Enhancing preanalytic surgical specimen management: experience of a system implementation initiative.Diagnostic pathology · 2025Article
- Digital twin manifesto for the pathology laboratory.Diagnostic pathology · 2025Article
- Disparities in tissue-based biomarker testing among US Medicare beneficiaries with prostate cancer.JNCI cancer spectrum · 2025Article
- Reticulin Framework Assessment in Neoplastic Endocrine Pathology.Endocrine pathology · 2025Review
- Survey-Based Insights into Romania's Pathology Services: Charting the Path for Future Progress.Healthcare (Basel, Switzerland) · 2025Article
- Article
- Pathology Laboratory Archive at the University and Hospital Trust of Modena/UNIMORE: "Disaster Recovery" frame by frame.Pathologica · 2025Article
- Automation in Pathology for patient safety.Pathologica · 2025Article
- Mastering the art of sectioning: a comprehensive guide to slide-microtome technology and histological applications.Frontiers in veterinary science · 2025Review
- Digital pathology structure and deployment in Veneto: a proof-of-concept study.Virchows Archiv : an international journal of pathology · 2024Article
- Validation of Artificial Intelligence (AI)-Assisted Flow Cytometry Analysis for Immunological Disorders.Diagnostics (Basel, Switzerland) · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
One of the goals of pathology is to standardize laboratory practices to increase the precision and effectiveness of diagnostic testing, which will ultimately enhance patient care and results. Standardization is crucial in the domains of tissue processing, analysis, and reporting. To enhance diagnostic testing, innovative technologies are also being created and put into use. Furthermore, although problems like algorithm training and data privacy issues still need to be resolved, digital pathology and artificial intelligence are emerging in a structured manner. Overall, for the field of pathology to advance and for patient care to be improved, standard laboratory practices and innovative technologies must be adopted. In this paper, we describe the state-of-the-art of automation in pathology laboratories in order to lead technological progress and evolution. By anticipating laboratory needs and demands, the aim is to inspire innovation tools and processes as positively transformative support for operators, organizations, and patients.
Indexed as
Identifiers
What OpenQuestion holds
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.