Type
Healthcare
Country
United States
US
Documents
39
through any edge
Papers
39
authorship edges
Awards made
—
Named as funder
—
Identifiers
Papers
Documents in the 44B Library with Tufts Medical Center on the authorship, newest first.
2026-06-17 · 18 authors here
Large Language Models Provide Accurate but Potentially Unsafe Answers to Multimodal Critical Care Medicine Board Review Questions
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
2026-05-12 · 4 authors here
A Resampling-Based Framework for Network Structure Learning in High-Dimensional Data.
2026-01-01 · 9 authors here
Confidence-Accuracy Alignment in Cardiology Knowledge: Comparing Medical-Specific and General-Purpose Large Language Models Using ACCSAP.
2025-11-01 · 1 authors here
Medical misinformation – and how we can reclaim the truth
2025-07-03 · 7 authors here
Learning Gaussian graphical models from correlated data
2025-07-03 · 6 authors here
Enhancing explainability in clinical deep-learning models: Latent-space variable decoding is superior to gradient-weighted class activation mapping
2025-05-15 · 7 authors here
Credibility and influence in health messaging: examining medical professionals' role on X in promoting N95 respirators during COVID-19
2025-05-02 · 9 authors here
Virtual Agent-based Communication Skills Training to Facilitate Health Persuasion Among Peers
2025-02-08 · 6 authors here
Instability of the AUROC of Clinical Prediction Models
2025-01-22 · 17 authors here
Bridging the gap: Evaluating ChatGPT-generated, personalized, patient-centered prostate biopsy reports
2024-10-21 · 3 authors here
Performance of Chat Generative Pre-trained Transformer-4o in the Adult Clinical Cardiology Self-Assessment Program
2024-10-01 · 11 authors here
Evaluation of repeated machine learning-based phenotyping in patients with cardiogenic shock
2024-05-11 · 6 authors here
Engaging and Entertaining Adolescents in Health Education Using LLM-Generated Fantasy Narrative Games and Virtual Agents
2024-03-01 · 35 authors here
A Case Demonstration of the Open Health Natural Language Processing Toolkit From the National COVID-19 Cohort Collaborative and the Researching COVID to Enhance Recovery Programs for a Natural Language Processing System for COVID-19 or Postacute Sequelae of SARS CoV-2 Infection: Algorithm Development and Validation
2024-01-23 · 11 authors here
Developing, purchasing, implementing and monitoring AI tools in radiology: Practical considerations. A multi‐society statement from the ACR, CAR, ESR, RANZCR & RSNA
2024-01-22 · 16 authors here
White paper: requirements for routine data recording in the operating room
2024-01-01 · 11 authors here
Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement from the ACR, CAR, ESR, RANZCR and RSNA
2023-12-19 · 10 authors here
Advancing equitable and personalized cancer care: Novel applications and priorities of artificial intelligence for fairness and inclusivity in the patient care workflow
2023-10-09 · 7 authors here
Towards Automated Pain Assessment using Embodied Conversational Agents
2023-10-07 · 7 authors here
Evaluation of A Computer-Aided Detection Software for Prostate Cancer Prediction: Excellent Diagnostic Accuracy Independent of Preanalytical Factors
2023-09-12 · 6 authors here
Artificial intelligence as an adjunct tool for breast oncologists – are we there yet?
2023-08-08 · 28 authors here
An open natural language processing (NLP) framework for EHR-based clinical research: a case demonstration using the National COVID Cohort Collaborative (N3C)
2023-05-25 · 3 authors here
Detecting Heart Disease from Multi-View Ultrasound Images via Supervised Attention Multiple Instance Learning
2023-04-24 · 14 authors here
The impact of commercial health datasets on medical research and health-care algorithms
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