ArticleJournal of pathology informatics2016
An industry perspective: An update on the adoption of whole slide imaging.
Article in Journal of pathology informatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Deep Learning-Enabled Technologies for Bioimage Analysis.Micromachines · 2022Review
- Types and frequency of whole slide imaging scan failures in a clinical high throughput digital pathology scanning laboratory.Journal of pathology informatics · 2022Article
- Assisted computer and imaging system improve accuracy of breast tumor size assessment after neoadjuvant chemotherapy.Translational cancer research · 2021Article
- Harnessing non-destructive 3D pathology.Nature biomedical engineering · 2021Review
- Emerging role of deep learning-based artificial intelligence in tumor pathology.Cancer communications (London, England) · 2020Review
- Artificial intelligence in digital pathology - new tools for diagnosis and precision oncology.Nature reviews. Clinical oncology · 2019Review
- Breast Cancer Prognostic Factors in the Digital Era: Comparison of Nottingham Grade using Whole Slide Images and Glass Slides.Journal of pathology informatics · 2019Article
- Enterprise Implementation of Digital Pathology: Feasibility, Challenges, and Opportunities.Journal of digital imaging · 2017Article
- Relevance of deep learning to facilitate the diagnosis of HER2 status in breast cancer.Scientific reports · 2017Article
- The Empirical Foundations of Telepathology: Evidence of Feasibility and Intermediate Effects.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This manuscript is an adaptation of the closing keynote presentation of the Digital Pathology Association Pathology Visions Conference 2015 in Boston, MA, USA. In this presentation, analogies are drawn between the adoption of whole slide imaging (WSI) and other mainstream digital technologies, including digital music and books. In doing so, it is revealed that the adoption of seemingly similar digital technologies does not follow the same adoption profiles and that understanding the unique aspects of value for each customer segment is critical. Finally, a call to action is given to academia and industry to study the value that WSI brings to the global healthcare community.
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.