Type
Education
Country
—
Documents
141
through any edge
Papers
141
authorship edges
Awards made
—
Named as funder
—
Identifiers
Papers
Documents in the 44B Library with Indiana University School of Medicine on the authorship, newest first.
2026-06-30 · 5 authors here
Evaluating the utility of AI-generated mammography images in breast cancer analysis
2026-06-29 · 6 authors here
PHO-Agents: A Large Language Model–Powered Multi-Agent System for Predicting Health Outcomes
2026-06-26 · 11 authors here
Education Research: Educational Informatics
2026-06-10 · 8 authors here
So many tests, so little time: Operationally constrained Machine Learning for diagnostic assessment under time constraints
2026-06-07 · 11 authors here
The bottleneck was never data or algorithms: building a learning utility for AI-enabled learning health systems
2026-05-31 · 17 authors here
Artificial Intelligence Among US Hematology Oncology Fellows: A Multicenter Survey of Education, Attitudes, and Clinical Use
2026-05-19 · 27 authors here
The performance of <scp>ChatGPT</scp> and other large language models on multiple‐choice questions in biomedical disciplines: A meta‐analysis
2026-05-03 · 4 authors here
Variable selection and inference with a new robust Bayesian elastic net
2026-04-02 · 8 authors here
Deep learning‑based cell type prediction in lung tissue from brightfield histology using CODEX-derived labels
2026-03-30 · 3 authors here
Revolutionizing OSCE Preparation Through AI-Driven Synthetic Patients
2026-03-30 · 6 authors here
Optimization of a RAG Model Chatbot for Medical Education
2026-03-30 · 7 authors here
Comparative Analysis of AI vs. Human Reasoning in Clinical Trial Interpretation: A Study Using Large Language Models
2026-03-30 · 3 authors here
Communication and Learning Improvement Model for Bedside Skills (CLIMBS): An AIBased Feedback Model for the Objective Standardized Clinical Examination
2026-03-01 · 20 authors here
Artificial Intelligence–Based Diagnosis of Kaposi Sarcoma Using Digital Photographs in Dark-Skinned Patients in Uganda
2026-02-11 · 16 authors here
Identifying Alzheimer’s Disease Progression Subphenotypes Via a Graph-based Framework Using Electronic Health Records
2026-01-15 · 4 authors here
The OB-GYN Take on GPT: Objective Assessment of Artificial Intelligence Models in Patient Education
2026-01-01 · 9 authors here
Decide less, communicate more: On the construct validity of end-to-end fact-checking in medicine
2026-01-01 · 4 authors here
Attitudes of the Iranian Public Toward the Clinical Use of Artificial Intelligence in Medicine: A Cross-Sectional Survey
2026-01-01 · 5 authors here
Development and Validation of a Machine Learning-Based Predictive Model for Peripheral Neuropathy Risk in Elderly Patients with Type 2 Diabetes
2026-01-01 · 9 authors here
Benchmarking agreement between large language models and published clinical trial conclusions across four artificial intelligence platforms
2025-12-16 · 1 authors here
Utilization of ChatGPT to Create Materials for a Flipped Classroom
2025-12-01 · 9 authors here
Understanding Generative Artificial Intelligence Adoption in Puerto Rican Medical Schools: A Cross-Institutional Survey of First- and Second-Year Students
2025-11-13 · 7 authors here
Characterize Disease Progression Subphenotypes in Real World Populations with Overweight and Obesity using a Graph-based Neural Network Framework
2025-10-07 · 5 authors here
Disinhibition of a recurrent attractor gates a persistent goal signal for navigation
2025-09-29 · 20 authors here
An audit of AI-related documents across U.S. medical schools: A framework-based qualitative content analysis
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