Type
Company
Country
United States
US
Documents
57
through any edge
Papers
57
authorship edges
Awards made
—
Named as funder
—
Identifiers
Papers
Documents in the 44B Library with Johnson & Johnson (United States) on the authorship, newest first.
2026-07-06 · 5 authors here
Performance evaluation of deep learning models for image analysis: Considerations for visual assessment and statistical metrics
2026-05-28 · 20 authors here
A sustainable platform for federated health data access, AI innovation, and regulatory acceptance in alignment with the European Health Data Space principles
2026-05-28 · 8 authors here
Optimizing post-prostatectomy management: A machine learning tool to identify low-risk patients and minimize unnecessary burden in localized prostate cancer.
2026-05-19 · 10 authors here
O PAPEL DA INTELIGÊNCIA ARTIFICIAL NO DIAGNÓSTICO PRECOCE DE DOENÇAS: DA ANÁLISE DE IMAGEM À TRIAGEM CLÍNICA PREDITIVA
2026-03-30 · 13 authors here
Med.ai ASK: an agentic system for biomedical question answering
2026-03-19 · 12 authors here
Results of the 2025 AMWA Generative AI Member Survey
2026-03-05 · 2 authors here
A Decade of Food and Drug Administration Medical Device Authorizations (2015–2025): Pathway, Specialty, and Artificial Intelligence/Machine Learning Trends
2026-03-01 · 6 authors here
Machine learning for medication error detection: a scoping review protocol
2026-01-28 · 10 authors here
Automated abstraction of clinical parameters of multiple myeloma from real-world clinical notes using large language models
2026-01-01 · 10 authors here
Additional file 1 of Automated abstraction of clinical parameters of multiple myeloma from real-world clinical notes using large language models
2026-01-01 · 10 authors here
Additional file 2 of Automated abstraction of clinical parameters of multiple myeloma from real-world clinical notes using large language models
2026-01-01 · 10 authors here
Additional file 5 of Automated abstraction of clinical parameters of multiple myeloma from real-world clinical notes using large language models
2026-01-01 · 10 authors here
Additional file 1 of Automated abstraction of clinical parameters of multiple myeloma from real-world clinical notes using large language models
2026-01-01 · 10 authors here
Additional file 2 of Automated abstraction of clinical parameters of multiple myeloma from real-world clinical notes using large language models
2026-01-01 · 10 authors here
Additional file 3 of Automated abstraction of clinical parameters of multiple myeloma from real-world clinical notes using large language models
2026-01-01 · 10 authors here
Additional file 5 of Automated abstraction of clinical parameters of multiple myeloma from real-world clinical notes using large language models
2026-01-01 · 10 authors here
Additional file 4 of Automated abstraction of clinical parameters of multiple myeloma from real-world clinical notes using large language models
2026-01-01 · 10 authors here
Additional file 3 of Automated abstraction of clinical parameters of multiple myeloma from real-world clinical notes using large language models
2026-01-01 · 10 authors here
Additional file 4 of Automated abstraction of clinical parameters of multiple myeloma from real-world clinical notes using large language models
2025-12-29 · 19 authors here
The Necessity and Feasibility Assessment Tool of the Clinical Prediction Model for Individual Prognosis Before Its Startup: A Multi‐Sectoral Delphi Consensus Study
2025-12-12 · 10 authors here
Benchmarking Gaussian processes for prediction and data assimilation of Alzheimer's disease progression
2025-11-24 · 4 authors here
Lessons From One FQHC’s Experience With Artificial Intelligence
2025-11-14 · 14 authors here
A lossless one-shot distributed algorithm for addressing heterogeneity in multi-site generalized linear models
2025-10-31 · 6 authors here
Integrating Ai Chatbots in Customer Service for Credit Card Companies: Enhancing Efficiency and Customer Experience
2025-09-18 · 1 authors here
Artificial Intelligence and Machine Learning in Pharma: Revolutionizing Drug Development and Clinical Trials
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