Type
Healthcare
Country
United States
US
Documents
280
through any edge
Papers
280
authorship edges
Awards made
—
Named as funder
—
Identifiers
Papers
Documents in the 44B Library with Boston Children's Hospital on the authorship, newest first.
2026-07-21 · 12 authors here
Building the Foundations for Trustworthy AI in Pediatrics
2026-06-29 · 2 authors here
Design principles for integrated AI alignment
2026-06-26 · 11 authors here
Education Research: Educational Informatics
2026-06-23 · 11 authors here
Unsupervised characterization of 100,272 EHR patients identifies high-risk groups and comorbidities linked to premature aging
2026-06-19 · 7 authors here
TimeX: Phenotype Onset Extraction from Clinical Narratives
2026-06-16 · 6 authors here
Patient and Family Perspectives on Generative AI Tools in Rare Diseases: Exploratory Mixed Methods Online Survey
2026-06-16 · 13 authors here
Evaluating Large Language Models to Improve Spanish Patient Education on Childhood Glaucoma
2026-06-13 · 7 authors here
Additional file 1 of Children and adolescents‘ views on artificial intelligence in pediatric healthcare: a qualitative focus group study
2026-06-13 · 7 authors here
Additional file 4 of Children and adolescents‘ views on artificial intelligence in pediatric healthcare: a qualitative focus group study
2026-06-13 · 7 authors here
Additional file 2 of Children and adolescents‘ views on artificial intelligence in pediatric healthcare: a qualitative focus group study
2026-06-13 · 7 authors here
Additional file 1 of Children and adolescents‘ views on artificial intelligence in pediatric healthcare: a qualitative focus group study
2026-06-13 · 7 authors here
Additional file 3 of Children and adolescents‘ views on artificial intelligence in pediatric healthcare: a qualitative focus group study
2026-06-13 · 7 authors here
Additional file 4 of Children and adolescents‘ views on artificial intelligence in pediatric healthcare: a qualitative focus group study
2026-06-13 · 7 authors here
Additional file 3 of Children and adolescents‘ views on artificial intelligence in pediatric healthcare: a qualitative focus group study
2026-06-13 · 7 authors here
Additional file 2 of Children and adolescents‘ views on artificial intelligence in pediatric healthcare: a qualitative focus group study
2026-06-12 · 7 authors here
Children and adolescents‘ views on artificial intelligence in pediatric healthcare: a qualitative focus group study
2026-06-11 · 14 authors here
Embeddings of clinical codes enable knowledge-grounded AI in medicine
2026-06-10 · 2 authors here
Caring in the Age of AI: A Framework for the Pediatric Trainee
2026-06-09 · 5 authors here
Trends in perception of generative AI in healthcare by US adult demographics and political identity
2026-06-05 · 5 authors here
Impact of Synthetic Lesional MR Images in Automated Focal Cortical Dysplasia Detection in Low-Data Scenarios
2026-06-01 · 5 authors here
Meeting clinicians where they are through signal-guided AI innovation
2026-05-23 · 7 authors here
Bias in <scp>AI</scp> models for fetal cardiac screening: the consequences of training predominantly on normal anatomy
2026-05-22 · 5 authors here
Use and Public Reporting of Predetermined Change Control Plans for AI-Enabled Medical Devices
2026-05-21 · 17 authors here
Large language models for zero-shot procedure extraction in orthopedic surgery: a comparative evaluation
2026-05-21 · 7 authors here
The Challenges and Promise of AI for Clinical Documentation in Pediatric Inpatient Care
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