Type
Healthcare
Country
United Kingdom
GB
Documents
86
through any edge
Papers
86
authorship edges
Awards made
—
Named as funder
—
Identifiers
Papers
Documents in the 44B Library with Leeds Teaching Hospitals NHS Trust on the authorship, newest first.
2026-07-03 · 4 authors here
The impact of stain variation and colour normalisation on tissue stain intensity and automated nuclear counting: a multi-site study
2026-06-04 · 5 authors here
Large Language Models in Healthcare Simulation Education: A Bibliometric Analysis with AI-Assisted Screening
2026-05-26 · 3 authors here
Immersive spatial computing in neurosurgery
2026-05-25 · 5 authors here
Designing AI tools for Pathology: A mixed-method study on user interface design for breast cancer lymph node metastases detection
2026-05-20 · 10 authors here
A temporally Anchored Retrieval-Augmented Generation Framework for Metabolic and Bariatric Surgery Patient Education: An IFSO Artificial Intelligence Task Force Multinational Validation Study
2026-05-01 · 6 authors here
AI in Cancer Prognosis: A Systematic Review of Multimodal Models Combining Pathology Images and High-Throughput Omics
2026-03-26 · 5 authors here
Artificial Intelligence Devices for Image Analysis in Digital Pathology
2026-03-16 · 8 authors here
Artificial intelligence in surgical care within low-income and middle-income countries: a scoping review of development, validation, and deployment
2026-03-12 · 9 authors here
Agreement Between Large Language Models, Human Reviewers, and Authors in Evaluating STROBE Checklists for Observational Studies in Rheumatology
2026-01-12 · 9 authors here
Implementation of AI-Driven Diagnostic Tools to Improve Access and Efficiency in Rural Healthcare: An Umbrella Review
2026-01-01 · 9 authors here
Establishing a framework for development, prioritization, and assessment of artificial intelligence technology within the radiology department at a large UK teaching hospital
2026-01-01 · 31 authors here
How does AI perform compared to human expert panels in medical Delphi studies? A pilot study through the lens of pathology
2026-01-01 · 14 authors here
Examining explainable artificial intelligence in TNM staging with PET-CT: a user-centred observation study.
2025-11-24 · 74 authors here
DECOVID: A UK Two-Center Harmonized Database of Acute Care Electronic Health Records for COVID-19 Research
2025-07-28 · 5 authors here
Artificial intelligence in Nigerian oncology practice: A qualitative exploration of oncologists' perspectives
2025-07-11 · 7 authors here
Use of quality checks and processes across digital histopathology: an initial survey from the Bigpicture consortium
2025-06-18 · 11 authors here
Development of a national pathology training system using digital pathology and SNOMED-CT
2025-06-01 · 3 authors here
Collaborating to create re‐usable training materials to increase knowledge and library professionals' understanding of artificial intelligence
2025-05-15 · 6 authors here
Formative Usability Testing of Artificial Intelligence in Pathology: The Challenge of Assessing Acceptability
2025-05-01 · 12 authors here
Assessing artificial intelligence in breast screening with stratified results on 306 839 mammograms across geographic regions, age, breast density and ethnicity: A Retrospective Investigation Evaluating Screening (ARIES) study
2025-04-11 · 5 authors here
Using artificial intelligence to predict patient outcomes from patient-reported outcome measures: a scoping review
2025-03-21 · 16 authors here
AI in radiological imaging of soft-tissue and bone tumours: a systematic review evaluating against CLAIM and FUTURE-AI guidelines
2025-03-01 · 11 authors here
Current Applications of Artificial Intelligence in Internal Medicine
2025-02-13 · 5 authors here
An international study of stain variability in histopathology using qualitative and quantitative analysis
2025-01-30 · 6 authors here
A comprehensive evaluation of histopathology foundation models for ovarian cancer subtype classification
Funding
Read from the funding tables, never from the document count — that count includes authorship, so it ranks institutions, not funders.
Who funds this work
Funders named on the papers above. The record holds no recipient field, so this is reached through the documents themselves — and the two columns are two different claims, kept apart.
Under a named grant
funding_awards — the award carries a grant number
Listed as funder
doc_funder_links — named, with no grant number