Type
Funder
Country
Denmark
DK
Documents
64
through any edge
Papers
64
authorship edges
Awards made
—
Named as funder
—
Identifiers
Papers
Documents in the 44B Library with Odense University Hospital on the authorship, newest first.
2026-06-26 · 7 authors here
Artificial Intelligence Approaches for Osteoporotic Fracture Risk Prediction Using Administrative Health Data: A Systematic Review
2026-05-18 · 7 authors here
Investigating the Clinical Value in Relation to Implementation and Use of an AI-Generated Fracture Algorithm Tool to Support Clinical Decision-Making
2026-05-08 · 6 authors here
Identifying factors influencing acceptance of artificial intelligence among general practitioners in Danish general practice: a cross-sectional web-based survey study
2026-04-30 · 6 authors here
Patient Perspectives On The Use Of Artificial Intelligence In Malignant Melanoma Diagnosis
2026-03-14 · 36 authors here
Time and person sensitive foundation model for disease prediction and risk stratification
2026-02-09 · 10 authors here
Hip fracture detection on radiographs using an artificial intelligence–based support tool: a diagnostic accuracy study
2026-01-01 · 4 authors here
Unlocking AI’s value: the HTA approach to responsible healthcare integration
2026-01-01 · 4 authors here
Quality assessment of radiographs through AI-driven feedback: A randomized comparative study on radiographer response in lateral knee radiographs.
2025-11-24 · 7 authors here
Assessing the Efficacy of Ortho GPT: A Comparative Study with Medical Students and General LLMs on Orthopedic Examination Questions
2025-11-05 · 6 authors here
Introducing FREMML: a decision-support approach for automated identification of individuals at high imminent fracture risk
2025-11-01 · 5 authors here
OA2018. Identifying product-related injuries using word embeddings holds potential for injury prevention
2025-10-11 · 13 authors here
Validity and transferability of Model for ASsessing the value of Artificial Intelligence (MAS-AI)
2025-10-10 · 7 authors here
Early clinical implementation and evaluation of an NLP-Based AI system for thrombophilia assessment using electronic health records
2025-08-23 · 7 authors here
Applying the Model for Assessing the Value of AI (MAS-AI) Framework To Organizational AI: A Case Study of Surgical Scheduling Assessment in Italy
2025-06-24 · 5 authors here
Artificial intelligence in medical writing: clarifying perspectives and journal policies. Authors’ reply
2025-05-26 · 7 authors here
Development of time to event prediction models using federated learning
2025-05-13 · 16 authors here
Reporting guideline for the use of Generative Artificial intelligence tools in MEdical Research: the GAMER Statement
2025-03-12 · 6 authors here
The Perceptions of Potential Prerequisites for Artificial Intelligence in Danish General Practice: Vignette-Based Interview Study Among General Practitioners
2025-03-04 · 10 authors here
Healthcare Staff Satisfaction with Hospital Service Robots in Denmark and South Korea
2025-01-01 · 6 authors here
coPERCIST: AI-assisted PET-CT response assessment
2024-12-21 · 12 authors here
Opportunities and Challenges of Chatbots in Ophthalmology: A Narrative Review
2024-11-05 · 6 authors here
ChatGPT as a Source for Patient Information on Patellofemoral Surgery—A Comparative Study Amongst Laymen, Doctors, and Experts
2024-10-17 · 9 authors here
Monitoring performance of clinical artificial intelligence in health care: a scoping review
2024-09-14 · 11 authors here
Perforator Selection with Computed Tomography Angiography for Unilateral Breast Reconstruction: A Clinical Multicentre Analysis
2024-09-04 · 7 authors here
AI-integrated Screening to Replace Double Reading of Mammograms: A Population-wide Accuracy and Feasibility Study
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