Identifiers
Papers
Documents in the 44B Library with Fresenius Medical Care (Germany) on the authorship, newest first.
2025-12-12 · 5 authors here
Evaluating the cost-effectiveness of artificial intelligence-enhanced osteoporosis screening in men and women using routine chest radiographs in South Korea
2025-10-01 · 10 authors here
#3218 Predicting fluid overload hospitalizations in hemodialysis patients using a foundational model and large language model techniques
2025-10-01 · 7 authors here
#3420 Application of ChatGPT 4o to implement local registries in low-resourced countries. A proof of concept for the Jamaican Registry Initiative
2025-07-15 · 1 authors here
AI-POWERED PREDICTIVE ANALYTICS FOR HOSPITAL READMISSION REDUCTION
2025-05-08 · 5 authors here
Reconciling security and care in digital medicine
2025-03-17 · 10 authors here
From bytes to bites: application of large language models to enhance nutritional recommendations
2024-10-01 · 7 authors here
Arteriovenous Fistula Failure Prediction Using Single Treatment Information
2024-10-01 · 12 authors here
Prediction of Gastrointestinal Bleeding Hospitalization Risk in Hemodialysis: Machine Learning vs. Logistic Regression
2024-05-01 · 12 authors here
#2067 Prediction of gastrointestinal bleeding hospitalization risk in hemodialysis using machine learning techniques
2024-01-01 · 9 authors here
#1017 External validation of a machine learning model for the prediction of bioimpedance-determined pre-dialysis overhydration
2023-11-24 · 17 authors here
European Nephrologists’ Attitudes toward the Application of Artificial Intelligence in Clinical Practice: A Comprehensive Survey
2023-11-01 · 26 authors here
Characteristics of Global Dialysis Data from Multiple Providers in the New MONitoring Dialysis Outcomes (MONDO) Dataset
2023-06-01 · 12 authors here
#3226 DEVELOPMENT AND USABILITY ASSESSMENT OF AN AI-ENHANCED DASHBOARD SUPPORTING AVF MANAGEMENT IN CLINICAL PRACTICE
2020-06-01 · 7 authors here
P1268MIXING ARTIFICIAL INTELLIGENCE AND CLINICAL OUTREACH TO REDUCE RISK OF FLUID OVERLOAD HOSPITALIZATION IN PATIENTS WITH END-STAGE RENAL DISEASE
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