Type
Healthcare
Country
China
CN
Documents
89
through any edge
Papers
89
authorship edges
Awards made
—
Named as funder
—
Identifiers
Papers
Documents in the 44B Library with Second Xiangya Hospital of Central South University on the authorship, newest first.
2026-07-15 · 10 authors here
Detectability and healthcare implications of generative AI–synthesized chest radiographs: a blinded radiologist reader study
2026-07-09 · 7 authors here
Machine learning redevelopment of GRACE, ACEF, and TIMI scores for 6-month mortality
2026-06-16 · 5 authors here
Cross-cultural determinants of AI acceptance in medical education among medical students in China and Pakistan
2026-05-27 · 6 authors here
AI Literacy as a Mediator Between Education Climate and Learning Agency in Nursing Students
2026-05-15 · 16 authors here
Diffusion Attention Expert Model for Predicting and Semi-automatic Localizing STAS in Lung Cancer Histopathological Images
2026-04-30 · 9 authors here
Machine learning based retrospective cohort study to predict mortality risk in Chinese patients undergoing extracorporeal membrane oxygenation
2026-04-15 · 2 authors here
The association between AI dependence, AI literacy, and critical thinking ability among nursing interns: a multicenter cross-sectional study
2026-04-02 · 12 authors here
Integrating large language models for enhanced predictive analytics in healthcare
2026-03-25 · 8 authors here
Real-world performance of open-source large language models in diabetes diagnosis
2026-03-19 · 6 authors here
Evaluating real-time voice AI–based virtual patients for authentic communication training
2026-01-02 · 10 authors here
Weakly supervised deep multi-instance learning for classification of endometrial lesions on hematoxylin and eosin-stained whole-slide images
2026-01-01 · 9 authors here
Self‐Supervised Transfer Learning of Cross‐Domains Histopathological Images for Cancer Diagnosis
2026-01-01 · 6 authors here
Artificial intelligence for colposcopic and cytological image analysis in early cervical cancer detection
2025-12-23 · 13 authors here
A comparative study of single-stage and dual-stage classification models for OPMDs
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 · 7 authors here
BTDA-MIL: Leveraging Bag-Transformation Augmentation to Boost Multi-Instance Learning for WSI Classification
2025-12-15 · 6 authors here
MP-MIL: Multi-View Multiple Instance Learning with Positional Embedding to Predict PIK3CA Mutation
2025-12-15 · 7 authors here
SpaceSeg: Spatially Feature-Aware Segmentation and Classification Model for Cell Nuclei
2025-12-15 · 6 authors here
GEMIL: A GELU-Enhanced Multiple-Instance Learning Model for Predicting Gene Mutations in Lung Cancer
2025-12-04 · 5 authors here
Medical undergraduate students’ readiness and anxiety toward artificial intelligence: a systematic review and meta-analysis
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
2025-11-25 · 7 authors here
A Deep Learning Framework Integrating Tumor Microenvironmental Features Accurately Predicts Multiple Driver Gene Mutations in Lung Cancer Pathology Images
2025-11-21 · 7 authors here
Nurses’ attitudes toward artificial intelligence: AI literacy as a predictor and the mediating effect of AI anxiety
2025-11-20 · 6 authors here
Artificial intelligence in multidisciplinary tumor boards enhancing decision making and clinical outcomes in oncology
2025-11-04 · 5 authors here
HET-VQVAE: a novel encoder-decoder framework for irregularly-sampled multivariate time series of patients
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