ArticleArchives of pathology & laboratory medicine2016
Computational Pathology: A Path Ahead.
Article in Archives of pathology & laboratory medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 1 of them a synthesis 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
54 citing papers in PubMed, 1 synthesis or guideline pooled it, 137 citations in OpenAlex.
- Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association.The Journal of pathology · 2019Guideline
- A benchmark study of vision and pathology foundation models for computational pathology.Nature communications · 2026Article
- Soft multiclass feature augmented deep learning to predict tumor origins using cytology or histology whole slide images.NPJ digital medicine · 2026Article
- Deep learning for malignancy and tumor origin prediction using cytology or histopathology whole slide images.NPJ digital medicine · 2026Article
- BiChemoCLAM: a weakly supervised multimodal framework for chemotherapy response prediction.Briefings in bioinformatics · 2026Article
- Artificial Intelligence as a Tool in the Diagnosis of Bladder Cancer: A Narrative Review.Cureus · 2025Review
- Automating Colon Polyp Classification in Digital Pathology by Evaluation of a "Machine Learning as a Service" AI Model: Algorithm Development and Validation Study.JMIR formative research · 2025Article
- Closing the gap in the clinical adoption of computational pathology: a standardized, open-source framework to integrate deep-learning models into the laboratory information system.Genome medicine · 2025Article
- The current landscape of artificial intelligence in computational histopathology for cancer diagnosis.Discover oncology · 2025Review
- IDH-mutant glioma risk stratification via whole slide images: Identifying pathological feature associations.iScience · 2025Article
- Weakly supervised deep learning-based classification for histopathology of gliomas: a single center experience.Scientific reports · 2025Article
- Leveraging digital pathology and AI to transform clinical diagnosis in developing countries.Frontiers in medicine · 2025Article
- Histological Hyperspectral Glioblastoma Dataset (HistologyHSI-GB).Scientific data · 2024Article
- Deep learning to assess microsatellite instability directly from histopathological whole slide images in endometrial cancer.NPJ digital medicine · 2024Article
- Artificial Intelligence in pathology: current applications, limitations, and future directions.Irish journal of medical science · 2024Review
- From pixels to patient care: deep learning-enabled pathomics signature offers precise outcome predictions for immunotherapy in esophageal squamous cell cancer.Journal of translational medicine · 2024Article
- The NCI Imaging Data Commons as a platform for reproducible research in computational pathology.Computer methods and programs in biomedicine · 2023Article
- Artificial intelligence and digital pathology: clinical promise and deployment considerations.Journal of medical imaging (Bellingham, Wash.) · 2023Review
- DeepBLS: Deep Feature-Based Broad Learning System for Tissue Phenotyping in Colorectal Cancer WSIs.Journal of digital imaging · 2023Article
- Interoperable slide microscopy viewer and annotation tool for imaging data science and computational pathology.Nature communications · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors at 6 institutions in 1 country.
Funding
Abstract
contextWe define the scope and needs within the new discipline of computational pathology, a discipline critical to the future of both the practice of pathology and, more broadly, medical practice in general.
objectiveTo define the scope and needs of computational pathology. DATA SOURCES: A meeting was convened in Boston, Massachusetts, in July 2014 prior to the annual Association of Pathology Chairs meeting, and it was attended by a variety of pathologists, including individuals highly invested in pathology informatics as well as chairs of pathology departments.
conclusionsThe meeting made recommendations to promote computational pathology, including clearly defining the field and articulating its value propositions; asserting that the value propositions for health care systems must include means to incorporate robust computational approaches to implement data-driven methods that aid in guiding individual and population health care; leveraging computational pathology as a center for data interpretation in modern health care systems; stating that realizing the value proposition will require working with institutional administrations, other departments, and pathology colleagues; declaring that a robust pipeline should be fostered that trains and develops future computational pathologists, for those with both pathology and nonpathology backgrounds; and deciding that computational pathology should serve as a hub for data-related research in health care systems. The dissemination of these recommendations to pathology and bioinformatics departments should help facilitate the development of computational pathology.
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.