On the public citation graph
A Question-and-Answer System to Extract Data From Free-Text Oncological Pathology Reports (CancerBERT Network): Development Study
0 signed · 95 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1001/jama.2011.1204openalex-snapshot
Automated Identification of Postoperative Complications Within an Electronic Medical Record Using Natural Language Processing
inferredcites →https://doi.org/10.1001/jama.2013.393openalex-snapshot
The Inevitable Application of Big Data to Health Care
inferredcites →https://doi.org/10.1002/asi.4630290207openalex-snapshot
Automatic indexing of pathology data
inferredcites →https://doi.org/10.1002/cncr.22566openalex-snapshot
Case completeness and data accuracy in the Centers for Disease Control and Prevention's National Program of Cancer Registries
inferredcites →https://doi.org/10.1007/978-3-030-43887-6_64openalex-snapshot
Pre-trained Language Model for Biomedical Question Answering
inferredcites →https://doi.org/10.1007/978-3-030-59137-3_11openalex-snapshot
Predicting Clinical Diagnosis from Patients Electronic Health Records Using BERT-Based Neural Networks
inferredcites →https://doi.org/10.1007/s10549-018-4668-3openalex-snapshot
Machine learning to parse breast pathology reports in Chinese
inferredcites →https://doi.org/10.1007/s10552-010-9616-4openalex-snapshot
Pattern-based information extraction from pathology reports for cancer registration
inferredcites →https://doi.org/10.1007/s40708-016-0042-6openalex-snapshot
Interactive machine learning for health informatics: when do we need the human-in-the-loop?
inferredcites →https://doi.org/10.1007/s41666-020-00082-4openalex-snapshot
Federated Learning for Healthcare Informatics
inferredcites →https://doi.org/10.1016/0004-3702(78)90011-5openalex-snapshot
Question answering from natural language medical data bases
inferredcites →https://doi.org/10.1016/j.jbi.2005.11.004openalex-snapshot
Natural language processing to extract medical problems from electronic clinical documents: Performance evaluation
inferredcites →https://doi.org/10.1016/j.jbi.2008.12.005openalex-snapshot
Automatically extracting cancer disease characteristics from pathology reports into a Disease Knowledge Representation Model
inferredcites →https://doi.org/10.1016/j.jbi.2019.103301openalex-snapshot
A frame semantic overview of NLP-based information extraction for cancer-related EHR notes
inferredcites →https://doi.org/10.1016/j.juro.2016.02.1267openalex-snapshot
MP31-14 LEVERAGING BLADDER CANCER PATHOLOGY REPORTS FOR RESEARCH: GLEANING MEANING DESPITE WIDELY VARIABLE LANGUAGE
inferredcites →https://doi.org/10.1016/j.juro.2017.02.987openalex-snapshot
MP32-12 HARNESSING FULL TEXT PATHOLOGY DATA FROM THE ELECTRONIC HEALTH RECORD TO ADVANCE BLADDER CANCER CARE – DEVELOPMENT OF A NATURAL LANGUAGE PROCESSING SYSTEM TO GENERATE LONGITUDINAL PATHOLOGY DATA
inferredcites →https://doi.org/10.1016/j.urology.2017.07.056openalex-snapshot
Development of a Natural Language Processing Engine to Generate Bladder Cancer Pathology Data for Health Services Research
inferredcites →https://doi.org/10.1038/sdata.2016.35openalex-snapshot
MIMIC-III, a freely accessible critical care database
inferredcites →https://doi.org/10.1055/s-0038-1667080openalex-snapshot
Expanding the Diversity of Texts and Applications: Findings from the Section on Clinical Natural Language Processing of the International Medical Informatics Association Yearbook
inferredcites →https://doi.org/10.1093/bioinformatics/btz682openalex-snapshot
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
inferredcites →https://doi.org/10.1093/jamia/ocaa080openalex-snapshot
Unified Medical Language System resources improve sieve-based generation and Bidirectional Encoder Representations from Transformers (BERT)–based ranking for concept normalization
inferredcites →https://doi.org/10.1093/jamia/ocx131openalex-snapshot
Hierarchical attention networks for information extraction from cancer pathology reports
inferredcites →https://doi.org/10.1093/jamia/ocz200openalex-snapshot
Deep learning in clinical natural language processing: a methodical review
inferredcites →https://doi.org/10.1109/bhi.2018.8333408openalex-snapshot
Coarse-to-fine multi-task training of convolutional neural networks for automated information extraction from cancer pathology reports
inferredcites →https://doi.org/10.1109/bhi.2018.8333439openalex-snapshot
Filter pruning of Convolutional Neural Networks for text classification: A case study of cancer pathology report comprehension
inferredcites →https://doi.org/10.1109/icdm50108.2020.00050openalex-snapshot
BiteNet: Bidirectional Temporal Encoder Network to Predict Medical Outcomes
inferredcites →https://doi.org/10.1109/jbhi.2017.2700722openalex-snapshot
Deep Learning for Automated Extraction of Primary Sites From Cancer Pathology Reports
inferredcites →https://doi.org/10.1109/worlds450073.2020.9210351openalex-snapshot
Contextual Chatbot for Healthcare Purposes (using Deep Learning)
inferredcites →https://doi.org/10.1111/1742-6723.13656openalex-snapshot
Advanced natural language processing technique to predict patient disposition based on emergency triage notes
inferredcites →https://doi.org/10.1136/jclinpath-2016-203872openalex-snapshot
Natural language processing in pathology: a scoping review
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1177/1073274820946794openalex-snapshot
Quality Assurance and Continuing Education: A Cyclic Approach for Maintaining High Quality Data in a High Volume Cancer Registry
inferredcites →https://doi.org/10.1186/s12859-015-0564-6openalex-snapshot
An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition
inferredcites →https://doi.org/10.1186/s12911-018-0609-7openalex-snapshot
Automated extraction of Biomarker information from pathology reports
inferredcites →https://doi.org/10.12681/eadd/48548openalex-snapshot
Artificial intelligence in medicine
inferredcites →https://doi.org/10.18653/v1/2020.emnlp-demos.6openalex-snapshot
Transformers: State-of-the-Art Natural Language Processing
inferredcites →https://doi.org/10.18653/v1/d16-1264openalex-snapshot
SQuAD: 100,000+ Questions for Machine Comprehension of Text
inferredcites →https://doi.org/10.18653/v1/p19-1285openalex-snapshot
Transformer-XL: Attentive Language Models beyond a Fixed-Length Context
inferredcites →https://doi.org/10.18653/v1/p19-1452openalex-snapshot
BERT Rediscovers the Classical NLP Pipeline
inferredcites →https://doi.org/10.18653/v1/w18-5446openalex-snapshot
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
inferredcites →https://doi.org/10.18653/v1/w19-4828openalex-snapshot
What Does BERT Look at? An Analysis of BERT’s Attention
inferredcites →https://doi.org/10.18653/v1/w19-5034openalex-snapshot
ScispaCy: Fast and Robust Models for Biomedical Natural Language Processing
inferredcites →https://doi.org/10.21437/interspeech.2020-2059openalex-snapshot
ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context
inferredcites →https://doi.org/10.2196/14830openalex-snapshot
Fine-Tuning Bidirectional Encoder Representations From Transformers (BERT)–Based Models on Large-Scale Electronic Health Record Notes: An Empirical Study
inferredcites →https://doi.org/10.24963/ijcai.2019/825openalex-snapshot
Pre-training of Graph Augmented Transformers for Medication Recommendation
inferredcites →https://doi.org/10.3390/healthcare8030307openalex-snapshot
Sentiment Analysis Methods for HPV Vaccines Related Tweets Based on Transfer Learning
inferredcites →https://doi.org/10.4103/2153-3539.97788openalex-snapshot
The feasibility of using natural language processing to extract clinical information from breast pathology reports
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s12105-026-01892-5openalex-snapshot
Artificial Intelligence Basics for Head and Neck Pathologists: A Simple Guide
inferred← citeshttps://doi.org/10.1007/s44196-026-01164-8openalex-snapshot
A Review on the Applications and Implications of Artificial Intelligence and Machine Learning in Oncology
inferred← citeshttps://doi.org/10.1016/j.artmed.2025.103227openalex-snapshot
The role of natural language processing in improving cancer care: A scoping review with narrative synthesis
inferred← citeshttps://doi.org/10.1016/j.cmpb.2024.108567openalex-snapshot
Leveraging Transformers-based models and linked data for deep phenotyping in radiology
inferred← citeshttps://doi.org/10.1016/j.esmorw.2026.100684openalex-snapshot
AI assistance in tumor multidisciplinary teams
inferred← citeshttps://doi.org/10.1016/j.inffus.2025.103024openalex-snapshot
A review of medical text analysis: Theory and practice
inferred← citeshttps://doi.org/10.1016/j.scib.2026.02.012openalex-snapshot
The role of artificial intelligence in advancing population-based cancer registration
inferred← citeshttps://doi.org/10.1016/j.tjog.2025.02.006openalex-snapshot
Fine-tuning Llama-2-13B with AI-generated medical diagnoses: A novel strategy for optimizing ICD coding in gynecologic oncology
inferred← citeshttps://doi.org/10.1038/s41746-025-01729-5openalex-snapshot
Comparative analysis of natural language processing methodologies for classifying computed tomography enterography reports in Crohn’s disease patients
inferred← citeshttps://doi.org/10.1080/14737167.2024.2322664openalex-snapshot
Using natural language processing to analyze unstructured patient-reported outcomes data derived from electronic health records for cancer populations: a systematic review
inferred← citeshttps://doi.org/10.1093/bjrai/ubae019openalex-snapshot
Large language models in cancer: potentials, risks, and safeguards
inferred← citeshttps://doi.org/10.1093/med/9780192867636.003.0022openalex-snapshot
Application of artificial intelligence to overcome clinical information overload in cancer
inferred← citeshttps://doi.org/10.1101/2023.07.11.23292529openalex-snapshot
Natural Language Processing Can Automate Extraction of Barrett’s Esophagus Endoscopy Quality Metrics
inferred← citeshttps://doi.org/10.1101/2023.11.08.23298252openalex-snapshot
Development of a privacy preserving large language model for automated data extraction from thyroid cancer pathology reports
inferred← citeshttps://doi.org/10.1109/aiccsa63423.2024.10912584openalex-snapshot
Classification of Cancer Pathology Reports Using Rule-Based Approaches: A Review
inferred← citeshttps://doi.org/10.1109/bhi62660.2024.10913931openalex-snapshot
OncoNLP: Cancer Comprehend Annotation - a Pipeline for Cancer Phenotype and Clinical Extraction
inferred← citeshttps://doi.org/10.1109/ic3se62002.2024.10593504openalex-snapshot
Clinical Text Analysis with Natural Language Processing: A BERT-based Approach
inferred← citeshttps://doi.org/10.1109/wi-iat55865.2022.00088openalex-snapshot
Research on Question Answering over Knowledge Graph of Chronic Diseases
inferred← citeshttps://doi.org/10.1200/cci-25-00112openalex-snapshot
Large Language Models in Population Oncology: A Contemporary Review on the Use of Large Language Models to Support Data Collection, Aggregation, and Analysis in Cancer Care and Research
inferred← citeshttps://doi.org/10.1371/journal.pdig.0000692openalex-snapshot
Classification of periodontitis stage and grade using natural language processing techniques
inferred← citeshttps://doi.org/10.1371/journal.pdig.0000980openalex-snapshot
Development and evaluation of large-language models (LLMs) for oncology: A scoping review
inferred← citeshttps://doi.org/10.1371/journal.pone.0318726openalex-snapshot
Leveraging natural language processing for efficient information extraction from breast cancer pathology reports: Single-institution study
inferred← citeshttps://doi.org/10.21203/rs.3.rs-2303726/v1openalex-snapshot
Natural Language Processing based Obtaining Information in Pathology Report of Breast Cancer: Single-Institution Study
inferred← citeshttps://doi.org/10.21203/rs.3.rs-5128451/v1openalex-snapshot
A Systematic Review of Large Language Models in Medical Specialties: Applications, Challenges and Future Directions
inferred← citeshttps://doi.org/10.21203/rs.3.rs-5128451/v2openalex-snapshot
A Systematic Review of Large Language Models in Medical Specialties: Applications, Challenges and Future Directions
inferred← citeshttps://doi.org/10.21203/rs.3.rs-9877110/v1openalex-snapshot
Development and Open-Source Release of a Multi-Cancer Module for Structuring Pathology Reports
inferred← citeshttps://doi.org/10.2196/49724openalex-snapshot
Task-Specific Transformer-Based Language Models in Health Care: Scoping Review
inferred← citeshttps://doi.org/10.2196/57670openalex-snapshot
Novel Approach to Personalized Physician Recommendations Using Semantic Features and Response Metrics: Model Evaluation Study
inferred← citeshttps://doi.org/10.2196/64544openalex-snapshot
Using Large Language Models to Automate Data Extraction From Surgical Pathology Reports: Retrospective Cohort Study
inferred← citeshttps://doi.org/10.2196/65984openalex-snapshot
Large Language Model Applications for Health Information Extraction in Oncology: Scoping Review
inferred← citeshttps://doi.org/10.2196/70080openalex-snapshot
Large Language Model Synergy for Ensemble Learning in Medical Question Answering: Design and Evaluation Study
inferred← citeshttps://doi.org/10.2196/93996openalex-snapshot
Development and Evaluation of Large Language Model-Assisted Semi-Automated Data Harmonization Pipeline for the Multiple Chronic Disease Disparities Research Consortium: A Proof-of-Concept Study (Preprint)
inferred← citeshttps://doi.org/10.2196/96347openalex-snapshot
Multilingual Evidence-Based Question-Answering for Stroke Discharge Summaries: Study of Cross-Lingual Heterogeneity in Clinical Reports
inferred← citeshttps://doi.org/10.2196/preprints.41966openalex-snapshot
Tuning a neural information retrieval system in medical domains with limited data: Development Study (Preprint)
inferred← citeshttps://doi.org/10.2196/preprints.44045openalex-snapshot
Natural Language Processing based Obtaining Information in Pathology Report of Breast Cancer: Single-Institution Study (Preprint)
inferred← citeshttps://doi.org/10.2196/preprints.96347openalex-snapshot
Multilingual Evidence-Based Question Answering for Stroke Discharge Summaries: Study of Cross-Lingual Heterogeneity in Clinical Reports (Preprint)
inferred← citeshttps://doi.org/10.3389/fdgth.2025.1560757openalex-snapshot
Data, dialogue, and design: patient and public involvement and engagement for natural language processing with real-world cancer data
inferred← citeshttps://doi.org/10.3389/fmed.2025.1631565openalex-snapshot
Leveraging LLM to identify missed information in patient-physician communication: improving healthcare service quality
inferred← citeshttps://doi.org/10.3390/aimed1030020openalex-snapshot
Data Stewardship Barriers to Building Digital Twin Technology for Precision Medicine
inferred← citeshttps://doi.org/10.3390/bioengineering11040342openalex-snapshot
Applications of Large Language Models in Pathology
inferred← citeshttps://doi.org/10.3390/cancers13102382openalex-snapshot
Artificial Intelligence Applications to Improve the Treatment of Locally Advanced Non-Small Cell Lung Cancers
inferred← citeshttps://doi.org/10.3390/cancers18172728openalex-snapshot
Hybrid Lexical–Semantic AI Architecture for Automated Cancer Registry Coding for the Vet-ICD-O-Canine-1 System from Free-Text Veterinary Pathology Reports
inferred← citeshttps://doi.org/10.3390/info16060489openalex-snapshot
A Systematic Review of Large Language Models in Medical Specialties: Applications, Challenges and Future Directions
inferred← citeshttps://doi.org/10.7717/peerj-cs.1888openalex-snapshot
exKidneyBERT: a language model for kidney transplant pathology reports and the crucial role of extended vocabularies
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.