Type
Healthcare
Country
United States
US
Documents
48
through any edge
Papers
48
authorship edges
Awards made
—
Named as funder
—
Identifiers
Papers
Documents in the 44B Library with Houston Methodist on the authorship, newest first.
2026-05-15 · 14 authors here
It’s Not Just for Trust: Designing for Emerging Uses of Explainable AI in Clinical Decision-Making
2026-04-01 · 8 authors here
Omission and hallucination prevalence of clinical guidelines in diagnostic large language model outputs
2026-01-12 · 4 authors here
Predictive modelling for patient care using federated learning systems combined with a private blockchain data environment and using ranked set sampling
2026-01-01 · 8 authors here
P-1686. Deep Learning Prediction Model for Staphylococcus aureus Positivity and Antibiotic Susceptibility Patterns Using A Large Longitudinal Electronic Health Record Dataset
2026-01-01 · 4 authors here
Artificial intelligence needs better health systems to reduce inequalities.
2025-10-16 · 73 authors here
Global innovative perspectives and trends on digital health and patient safety: highlights from the #DHPSP2024 networking event
2025-10-03 · 5 authors here
Accuracy of ChatGPT‐4 Plus in Providing Information on Oral Cancer Management
2025-03-10 · 2 authors here
Leveraging large language models for knowledge-free weak supervision in clinical natural language processing
2025-02-27 · 15 authors here
Bibliometric analysis of artificial intelligence applications in cardiovascular imaging: trends, impact, and emerging research areas
2025-01-29 · 7 authors here
P-843. Enhancing Bacteremia Mortality Predictions: A Comparative Study of Machine Learning Models Across Databases
2025-01-01 · 7 authors here
A protocol for evaluating the accuracy and reliability of large language models in answering patient questions on breast reconstruction surgery
2024-11-27 · 9 authors here
Frozen Large-Scale Pretrained Vision-Language Models are the Effective Foundational Backbone for Multimodal Breast Cancer Prediction
2024-11-14 · 11 authors here
Machine learning-based prediction models in medical decision-making in kidney disease: patient, caregiver, and clinician perspectives on trust and appropriate use
2024-10-24 · 5 authors here
Air–Ground Coordinated MEC: Joint Task, Time Allocation and Trajectory Design
2024-10-02 · 7 authors here
Deep learning-derived optimal aviation strategies to control pandemics
2024-08-07 · 7 authors here
Gene Expression Prediction from Histology Images via Hypergraph Neural Networks
2024-04-16 · 6 authors here
FIT calculator: a multi-risk prediction framework for medical outcomes using cardiorespiratory fitness data
2024-04-09 · 11 authors here
Sentiment Analysis of Digital Conversations Related to Myasthenia Gravis by Race/Ethnicity (P10-11.019)
2024-02-01 · 9 authors here
Comparing ChatGPT-4 to BARD for Accuracy and Completeness of Responses to Questions Derived from the International Consensus Statement on Endoscopic Skull Base Surgery
2024-01-22 · 10 authors here
Frozen Large-scale Pretrained Vision-Language Models are an Effective Foundational Backbone for Enhancing Multimodal Breast Cancer Risk Assessment
2024-01-01 · 9 authors here
American Academy of Otolaryngology–Head and Neck Surgery (AAO-HNS) Report on Artificial Intelligence
2023-11-01 · 11 authors here
7 Does Neurocognition Contribute to Age-Related Differences in the Accuracy and Sharing of COVID-19 Misinformation?
2023-11-01 · 7 authors here
Chat Generative Pretrained Transformer to optimize accessibility for cataract surgery postoperative management
2023-11-01 · 8 authors here
Automated ophthalmic imaging analysis in the era of Generative Pre-Trained Transformer-4
2023-08-28 · 7 authors here
Robotic Tutors for Nurse Training: Opportunities for HRI Researchers
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