ReviewJournal of clinical medicine2020
Digital Pathology: Advantages, Limitations and Emerging Perspectives.
Review in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 152 papers, 4 of them syntheses that pooled it.
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
152 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Digital pathology in forensic science: a systematic review of the literature.Forensic science, medicine, and pathology · 2026Pooled it
- Guidelines for the adoption of digital pathology in clinical pathology units recommended by the polish society of pathologists.Diagnostic pathology · 2026Guideline
- Explainable artificial intelligence (XAI) in medical imaging: a systematic review of techniques, applications, and challenges.BMC medical imaging · 2026Pooled it
- Digital pathology and artificial intelligence in renal cell carcinoma focusing on feature extraction: a literature review.Frontiers in oncology · 2025Pooled it
- Digital Pathology Archives as Long-Term Clinical Memory: A Self-Sovereign Identity-Based Governance Model.Healthcare (Basel, Switzerland) · 2026Article
- Evaluating the Performance of LYDIA: An AI-Powered Assistant in the Detection of Metastatic Tumors to Optimize Clinical Workflows and Inform Soft Tissue Surgical Decision-Making.Bioengineering (Basel, Switzerland) · 2026Article
- Accelerating the implementation of digital pathology in India.Journal of pathology informatics · 2026Review
- AI-based tumor cellularity assessment in digital pathology: A review of methods, datasets, and clinical translation.Journal of pathology informatics · 2026Review
- Challenges and opportunities of implementing open-source digital pathology in sub-Saharan Africa: Lessons learned from deploying QuPath for breast cancer biomarker assessment in Cameroon.Journal of pathology informatics · 2026Article
- Application and exploration of digital pathology technology in standardized residency training.BMC medical education · 2026Article
- Virtual immunohistochemistry by conditional generative adversarial networks.Scientific reports · 2026Article
- Flexible and scalable federated learning with deep feature prompts for digital pathology.NPJ digital medicine · 2026Article
- Validation of Digital Cytology for Primary Diagnosis Across a Range of Specimen Types.Cytopathology : official journal of the British Society for Clinical Cytology · 2026Article
- Digital Pathology-Based Morphometric Analysis of Saccharomyces cerevisiae Effects on Splenic Cell Populations in Broiler Chickens.Probiotics and antimicrobial proteins · 2026Article
- A deep learning and morphometric hybrid model for automated quantification of kidney interstitial fibrosis in trichrome-stained whole-slide image.Journal of pathology informatics · 2026Article
- Blended and digital approaches in histology and pathology teaching: A scoping review.Anatomical sciences education · 2026Article
- Telepathology and Mobile Health System for Province-Wide Pathology Consultation in Henan, China: Retrospective Evaluation Study.Journal of medical Internet research · 2026Observational
- How artificial intelligence applied to digital pathology could guide treatment personalization in breast cancer.ESMO real world data and digital oncology · 2026Review
- Intraoperative biopsy imaging of lung cancer risk.Communications medicine · 2026Article
- A Clinically Translatable Multimodal Deep Learning Model for HRD Detection from Histopathology Images.Diagnostics (Basel, Switzerland) · 2026Article
92 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Digital pathology is on the verge of becoming a mainstream option for routine diagnostics. Faster whole slide image scanning has paved the way for this development, but implementation on a large scale is challenging on technical, logistical, and financial levels. Comparative studies have published reassuring data on safety and feasibility, but implementation experiences highlight the need for training and the knowledge of pitfalls. Up to half of the pathologists are reluctant to sign out reports on only digital slides and are concerned about reporting without the tool that has represented their profession since its beginning. Guidelines by international pathology organizations aim to safeguard histology in the digital realm, from image acquisition over the setup of work-stations to long-term image archiving, but must be considered a starting point only. Cost-efficiency analyses and occupational health issues need to be addressed comprehensively. Image analysis is blended into the traditional work-flow, and the approval of artificial intelligence for routine diagnostics starts to challenge human evaluation as the gold standard. Here we discuss experiences from past digital pathology implementations, future possibilities through the addition of artificial intelligence, technical and occupational health challenges, and possible changes to the pathologist's profession.
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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.