Type
Healthcare
Country
United States
US
Documents
717
through any edge
Papers
717
authorship edges
Awards made
—
Named as funder
—
Identifiers
Papers
Documents in the 44B Library with Massachusetts General Hospital on the authorship, newest first.
2026-07-21 · 10 authors here
Artificial Intelligence and Large Language Models: A Case-Based, Peer-Teaching Workshop for Preclinical Medical Students
2026-07-12 · 4 authors here
Artificial Intelligence Cannot Replace Peer Reviewers but May Help Editors Triage: A Comparative Analysis of a Large Language Model and Human Reviewer Recommendations at the <i>American Journal of Sports Medicine</i>
2026-07-10 · 6 authors here
Phenotyping antidepressant treatment response with deep learning in electronic health records
2026-07-10 · 13 authors here
Assessing AI and Neurologist Diagnostic Reasoning Against Neuropathological Ground Truth
2026-07-06 · 22 authors here
Expert Discrimination of AI-Generated versus Authentic Radiologic Images: A Multimodal, Pre-Registered Visual Turing Test
2026-06-23 · 11 authors here
Unsupervised characterization of 100,272 EHR patients identifies high-risk groups and comorbidities linked to premature aging
2026-06-17 · 20 authors here
Towards autonomous medical artificial intelligence agents
2026-06-03 · 5 authors here
Chemical-Attribute Extraction via Inverse Reinforcement Learning with Sub-Reward Matching for Question Answering
2026-06-02 · 7 authors here
Evaluating Physician-AI Interaction for Cancer Management: Paving the Path toward Precision Oncology
2026-06-01 · 2 authors here
Beyond language: generative artificial intelligence as a general computing model for medicine
2026-06-01 · 7 authors here
Longitudinal Analysis of Changes in Deep Learning Image-based Breast Cancer Risk Scores over Time
2026-06-01 · 5 authors here
Leveraging simulation to provide a practical framework for estimating the novel scope of risk of large language models in healthcare
2026-05-26 · 9 authors here
Moving beyond the benchmarks: Five foundational principles for meaningful AI evaluation in healthcare
2026-05-26 · 5 authors here
Enhancing Osteosarcoma Survival Predictions
2026-05-21 · 20 authors here
ASO Special Article: Proceedings of the Inaugural Joint US–India Cancer Dialogue: Accelerating Collaboration to Advance Cancer Prevention, Early Detection, Treatment, and Care
2026-05-21 · 7 authors here
Machine Learning for Cardiovascular Prevention Prescriptions: Real-World vs. Synthetic Data
2026-05-21 · 17 authors here
Patient-friendly simplification and translation of neuroradiology impressions using artificial intelligence
2026-05-21 · 16 authors here
Language-dependent diagnostic safety of medical AI systems: a cross-lingual benchmarking and prospective clinical study
2026-05-20 · 14 authors here
Unsupervised Tissue Concepts for Explainable Sarcoma Subtype Prediction from H&E
2026-05-20 · 8 authors here
Assessing Military Artificial Intelligence Responses to Anterior Cruciate Ligament Injury Frequently Asked Questions
2026-05-15 · 6 authors here
Large language models require a new form of oversight: capability-based monitoring
2026-05-12 · 11 authors here
What the AI era doctor should know: a scoping review of proposed artificial intelligence competencies for medical education
2026-05-10 · 3 authors here
Generative Artificial Intelligence Considerations Beyond Natural Language Processing: Computer Vision Applications in Health Care
2026-05-08 · 4 authors here
Musculoskeletal Interventions: The Past, Present, and Future
2026-05-06 · 9 authors here
Risk Stratification for Breast Cancer Screening: <i>AJR</i> Expert Panel Narrative Review
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