ReviewJournal of clinical pathology2021
Digital pathology and artificial intelligence will be key to supporting clinical and academic cellular pathology through COVID-19 and future crises: the PathLAKE consortium perspective.
Review in Journal of clinical pathology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.
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
31 citing papers in PubMed, 2 syntheses or guidelines pooled it, 89 citations in OpenAlex.
- Combating COVID-19 Crisis using Artificial Intelligence (AI) Based Approach: Systematic Review.Current topics in medicinal chemistry · 2024Pooled it
- Diagnostic concordance and discordance in digital pathology: a systematic review and meta-analysis.Journal of clinical pathology · 2021Pooled it
- Validation of a Low-Cost Whole Slide Imaging System for Pathological Diagnosis of Gastric Ulcers in Biopsy Specimens by Pathology Residents.Asian Pacific journal of cancer prevention : APJCP · 2026Article
- Current Trends and Future Directions of Digital Pathology and Artificial Intelligence in Dermatopathology: A Scientometric-Based Review.Diagnostics (Basel, Switzerland) · 2025Review
- Variation within and between digital pathology and light microscopy for the diagnosis of histopathology slides: blinded crossover comparison study.Health technology assessment (Winchester, England) · 2025Article
- Comparison of the efficiency of digital pathology with the conventional methodology for the diagnosis of biopsies in an anatomical pathology laboratory in Spain.Journal of pathology informatics · 2025Article
- An update on applications of digital pathology: primary diagnosis; telepathology, education and research.Diagnostic pathology · 2025Review
- Role of Artificial Intelligence in Nanomedicine and Organ-specific Therapy: An Updated Review.Current drug targets · 2025Review
- The slow-paced digital evolution of pathology: lights and shadows from a multifaceted board.Pathologica · 2023Review
- A suggested way forward for adoption of AI-Enabled digital pathology in low resource organizations in the developing world.Diagnostic pathology · 2023Review
- Substantial improvement of histopathological diagnosis by whole-slide image-based remote consultation.Virchows Archiv : an international journal of pathology · 2022Article
- Clinical and Laboratory Approach to Diagnose COVID-19 Using Machine Learning.Interdisciplinary sciences, computational life sciences · 2022Article
- Review
- RFID analysis of the complexity of cellular pathology workflow-An opportunity for digital pathology.Frontiers in medicine · 2022Article
- Digital pathology and artificial intelligence in translational medicine and clinical practice.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2022Review
- A Novel Benchmark Dataset for COVID-19 Detection during Third Wave in Pakistan.Computational intelligence and neuroscience · 2022Article
- Hybrid deep learning of social media big data for predicting the evolution of COVID-19 transmission.Knowledge-based systems · 2021Article
- Digital Pathology Transformation in a Supraregional Germ Cell Tumour Network.Diagnostics (Basel, Switzerland) · 2021Article
- Artificial Intelligence in Digital Pathology: What Is the Future?Healthcare (Basel, Switzerland) · 2021Article
- Artificial Intelligence in Digital Pathology: What Is the Future?Healthcare (Basel, Switzerland) · 2021Article
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 at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The measures to control the COVID-19 outbreak will likely remain a feature of our working lives until a suitable vaccine or treatment is found. The pandemic has had a substantial impact on clinical services, including cancer pathways. Pathologists are working remotely in many circumstances to protect themselves, colleagues, family members and the delivery of clinical services. The effects of COVID-19 on research and clinical trials have also been significant with changes to protocols, suspensions of studies and redeployment of resources to COVID-19. In this article, we explore the specific impact of COVID-19 on clinical and academic pathology and explore how digital pathology and artificial intelligence can play a key role to safeguarding clinical services and pathology-based research in the current climate and in the future.
Indexed as
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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.