Type
Healthcare
Country
China
CN
Documents
115
through any edge
Papers
115
authorship edges
Awards made
—
Named as funder
—
Identifiers
Papers
Documents in the 44B Library with Xiangya Hospital Central South University on the authorship, newest first.
2026-06-12 · 12 authors here
Informed Consent Disclosures and Minimum Requirements in AI Clinical Trials: Cross-Sectional Analysis
2026-06-10 · 3 authors here
Integrating large language models into prostate cancer training: evidence from comparative benchmarking and a pilot randomized trial
2026-05-15 · 16 authors here
Diffusion Attention Expert Model for Predicting and Semi-automatic Localizing STAS in Lung Cancer Histopathological Images
2026-05-13 · 10 authors here
The AI adoption paradox in Chinese medical education: a multi-institution cross-sectional study of usage patterns, critical literacy gaps, and adoption profiles among 3,194 undergraduate medical students
2026-05-01 · 11 authors here
Expert consensus on the application and governance of artificial intelligence in medical institutions (2026)
2026-04-30 · 9 authors here
Machine learning based retrospective cohort study to predict mortality risk in Chinese patients undergoing extracorporeal membrane oxygenation
2026-04-22 · 16 authors here
Deciphering AI-chatbots utilization in clinical practice, research and education among Chinese medical students in generative AI era: a cross-sectional study
2026-04-16 · 9 authors here
The application of large language models in orthopedic postgraduate education: potentials, challenges, and future prospects
2026-03-31 · 5 authors here
Dictionary Multi-Modal Temporal Graph Learning
2026-03-26 · 3 authors here
Influence of features on adoption intention of AI health assistants: insights from mind perception theory
2026-03-13 · 11 authors here
Uncovering Hidden Prognostic Patterns in Colorectal Cancer Histology Using Unsupervised Learning: A Computational Pathology Study
2026-03-09 · 20 authors here
Medicine digital transformation: evidence from Chinese physicians on generative artificial intelligence implementation and challenges
2026-02-02 · 6 authors here
Anatomy as a guide: Using learned priors for precise organ segmentation
2026-02-01 · 5 authors here
Pose2met: a unified spatiotemporal framework for 3D human pose estimation and energy expenditure estimation
2026-01-17 · 9 authors here
Masked autoencoding, generalizable pretraining, and integrated experts for enhanced glioma segmentation
2026-01-01 · 5 authors here
Enhancing Anchor Representativeness and Stability in Scalable Multi-View Clustering with Prior Guidance
2025-12-15 · 9 authors here
Benchmarking large language models against clinicians across hospital levels in cardiovascular decision-making: a cross-sectional vignette-based study
2025-12-15 · 4 authors here
ADESys: A Modular System for ADE Identification Research with LLM-RAG Integration
2025-12-03 · 6 authors here
Perceptions and Attitudes of Medical Students Toward the Integration of Large Language Models in Medical Education: Cross-Sectional Survey in China
2025-12-01 · 4 authors here
Beyond technical efficacy: challenges and critical concerns of large language model’s impact on medical education in China: a systematic review
2025-11-04 · 20 authors here
Temporal evolution of large language models (LLMs) in oncology
2025-10-14 · 21 authors here
Large language models in clinical trials: applications, technical advances, and future directions
2025-09-26 · 6 authors here
ProtoMAP: prototypical network based few-shot learning for missed abortion prediction
2025-09-18 · 5 authors here
Artificial Intelligence Literacy and Its Associated Factors Among Nursing Students
2025-08-07 · 10 authors here
Generalized Probabilistic Graphical Modeling for Multi-View Bipartite Graph Clustering
Funding
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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