Type
Government
Country
United States
US
Documents
34
through any edge
Papers
34
authorship edges
Awards made
—
Named as funder
—
Identifiers
Papers
Documents in the 44B Library with United States Department of Veterans Affairs on the authorship, newest first.
2026-04-17 · 11 authors here
Rapid Evaluation of Artificial Intelligence Technology Used for Ambient Dictation in Primary Care: Comparing the Quality of Documentation of Artificial Intelligence–Generated and Human-Produced Clinical Notes
2026-04-09 · 25 authors here
Increasing value in the Veterans Affairs Healthcare System (VA) with precision health: a continuing landmark collaboration with the Department of Energy
2026-01-01 · 4 authors here
Additional file 5 of Utilizing large language models and natural language processing to classify ischemia status from cardiac stress tests in a large multicenter healthcare system
2026-01-01 · 4 authors here
Additional file 5 of Utilizing large language models and natural language processing to classify ischemia status from cardiac stress tests in a large multicenter healthcare system
2025-11-11 · 12 authors here
Using Generative Artificial Intelligence for Healthcare-Associated Infection Surveillance
2025-09-02 · 39 authors here
Pancancer outcome prediction via a unified weakly supervised deep learning model
2025-07-18 · 25 authors here
Unlocking efficiency in real-world collaborative studies: a multi-site international study with one-shot lossless GLMM algorithm
2025-07-18 · 15 authors here
A call for transdisciplinary trust research in the artificial intelligence era
2025-07-02 · 8 authors here
The Effect of Ambient Artificial Intelligence Scribes on Trainee Documentation Burden
2025-04-17 · 5 authors here
Machine-Learned Codes from EHR Data Predict Hard Outcomes Better than Human-Assigned ICD Codes
2025-03-27 · 20 authors here
Artificial intelligence-based virtual staining platform for identifying tumor-associated macrophages from hematoxylin and eosin-stained images
2025-02-07 · 7 authors here
Decoding substance use disorder severity from clinical notes using a large language model
2025-01-13 · 11 authors here
Use of AI in Family Medicine Publications: A Joint Editorial From Journal Editors
2025-01-01 · 11 authors here
Use of AI in family medicine publications: a joint editorial from journal editors
2025-01-01 · 7 authors here
The Present and Future of AI: Ethical Issues and Research Opportunities
2025-01-01 · 2 authors here
Advancing Cloud-Edge Applications Through Fog-Cloud Integration and Low-Latency Edge Solutions: A Narrative Case Study From Veterans Engineering
2024-09-09 · 27 authors here
Uptake of Cancer Genetic Services for Chatbot vs Standard-of-Care Delivery Models
2024-07-21 · 19 authors here
Clinical Relevance of Computationally Derived Tubular Features: Spatial Relationships and the Development of Tubulointerstitial Scarring in MCD/FSGS
2024-07-01 · 14 authors here
CohortFinder: an open-source tool for data-driven partitioning of digital pathology and imaging cohorts to yield robust machine-learning models
2024-06-19 · 7 authors here
Nurses' perceptions of the design, implementation, and adoption of machine learning clinical decision support: A descriptive qualitative study
2024-05-20 · 5 authors here
Comparing penalization methods for linear models on large observational health data
2024-03-08 · 11 authors here
A framework for inferring and analyzing pharmacotherapy treatment patterns
2024-02-22 · 23 authors here
To Do No Harm — and the Most Good — with AI in Health Care
2024-02-16 · 4 authors here
Use of noisy labels as weak learners to identify incompletely ascertainable outcomes: A Feasibility study with opioid-induced respiratory depression
2024-01-30 · 4 authors here
Use of Noisy Labels as Weak Learners to Identify Incompletely Ascertainable Outcomes: A Feasibility Study with Opioid-Induced Respiratory Depression
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