National Health Service

Type

Healthcare

Country

United Kingdom

GB

ROR

02wnqcb97

not unique to one org

OpenAlex

I125671874

the anchor

Documents

41

through any edge

Papers

41

authorship edges

Awards made

Named as funder

Papers

Documents in the 44B Library with National Health Service on the authorship, newest first.

2026-05-28 · 5 authors here

Evaluation of fine-tuned small language models (SLMs) vs large language models (LLMs) in modeled patient conversations for lung cancer screening.

2026-04-19 · 23 authors here

Deep learning for fluorescence confocal microscopy image interpretation in radical prostatectomy

2026-03-10 · 9 authors here

Prospective evaluation of artificial intelligence integration into breast cancer screening in multiple workflow settings: the GEMINI study

2026-03-01 · 5 authors here

Interpreting the GRACE 3.0 ITE model: from predictive performance to clinical decision utility

2026-02-01 · 11 authors here

Reliability of LLMs as medical assistants for the general public: a randomized preregistered study

2025-12-12 · 3 authors here

Debate: Standing up for science – how to combat misinformation in child mental health? Five recommendations for disentangling fact from fiction

2025-11-01 · 5 authors here

269P Performance of publicly available large language models as decision-aids for lung cancer screening: An evaluation of quality, safety, and readability

2025-06-18 · 14 authors here

PadChest-GR: A Bilingual Chest X-Ray Dataset for Grounded Radiology Report Generation

2025-05-01 · 6 authors here

Seven Opportunities for Artificial Intelligence in Primary Care Electronic Visits: Qualitative Study of Staff and Patient Views

2025-02-17 · 24 authors here

R-AI-diographers: a European survey on perceived impact of AI on professional identity, careers, and radiographers’ roles

2024-12-21 · 12 authors here

Opportunities and Challenges of Chatbots in Ophthalmology: A Narrative Review

2024-12-10 · 7 authors here

Can Ordinary AI-Powered Tools Replace a Clinician-Led Fracture Clinic Appointment?

2024-09-13 · 9 authors here

Can GPT-3.5 generate and code discharge summaries?

2024-08-20 · 4 authors here

Flow-Mediated Dilatation: Learning Curve Study with a Novice Operator

2024-08-16 · 38 authors here

Deep Generative Classification of Blood Cell Morphology

2024-05-27 · 9 authors here

Medisure: Towards Assuring Machine Learning-Based Medical Image Classifiers Using Mixup Boundary Analysis

2024-04-29 · 4 authors here

Identification of Human-Generated vs AI-Generated Research Abstracts by Health Care Professionals

2024-04-24 · 32 authors here

Knowledge, attitude, and practice of artificial intelligence among medical students in Sudan: a cross-sectional study

2024-03-21 · 12 authors here

Foresight—a generative pretrained transformer for modelling of patient timelines using electronic health records: a retrospective modelling study

2024-02-22 · 23 authors here

To Do No Harm — and the Most Good — with AI in Health Care

2024-02-01 · 4 authors here

A systematic evaluation of the performance of GPT‐4 and PaLM2 to diagnose comorbidities in MIMIC‐IV patients

2023-10-25 · 23 authors here

Development and validation of artificial intelligence-based prescreening of large-bowel biopsies taken in the UK and Portugal: a retrospective cohort study

2023-10-17 · 2 authors here

Enhancing the relationship between digital technology/AI and frontline NHS healthcare staff

2023-07-07 · 36 authors here

Digital Examination of LYmph node CYtopathology Using the Sydney system (DELYCYUS): An international, multi‐institutional study

2023-07-06 · 2 authors here

Artificial intelligence in orthopaedics: can Chat Generative Pre-trained Transformer (ChatGPT) pass Section 1 of the Fellowship of the Royal College of Surgeons (Trauma & Orthopaedics) examination?

Showing 25 of 41 on record.

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.

© 2026 NYSGPTLast Updated: August 5, 2026