Type
Education
Country
China
CN
Documents
158
through any edge
Papers
158
authorship edges
Awards made
—
Named as funder
—
Identifiers
Papers
Documents in the 44B Library with Anhui Medical University on the authorship, newest first.
2026-07-20 · 21 authors here
AI-driven tumor heterogeneity quantification and survival prediction in pancreatic ductal adenocarcinoma
2026-07-17 · 5 authors here
Attitudes, usage patterns, and learning interests of medical students toward DeepSeek in medical education: A cross-sectional survey
2026-07-15 · 4 authors here
An integrative study of factors influencing university students’ acceptance of AI chatbot technology: a MASEM analysis based on TAM, TPB, and UTAUT frameworks
2026-07-13 · 4 authors here
Medical students’ attitudes, usage patterns, and associated factors with DeepSeek adoption in education: a cross-sectional study in China
2026-07-10 · 8 authors here
Nursing undergraduates’ experiences of generative AI-assisted learning in the classroom environment: a qualitative study
2026-07-06 · 10 authors here
Latent profiles of nurses’ attitudes toward artificial intelligence in nursing and associated factors: a cross-sectional study
2026-06-16 · 5 authors here
EECFS: Efficient Ensemble Causal Feature Selection for High-Dimensional Molecular Data
2026-05-30 · 7 authors here
Medical Reasoning With Large Language Models: A Systematic Review and Evaluation
2026-05-28 · 8 authors here
Machine learning for postoperative complication prediction and early recurrence risk assessment across cancer types: a systematic review and meta-analysis
2026-05-28 · 8 authors here
Additional file 6 of Machine learning for postoperative complication prediction and early recurrence risk assessment across cancer types: a systematic review and meta-analysis
2026-05-28 · 8 authors here
Additional file 8 of Machine learning for postoperative complication prediction and early recurrence risk assessment across cancer types: a systematic review and meta-analysis
2026-05-28 · 8 authors here
Additional file 7 of Machine learning for postoperative complication prediction and early recurrence risk assessment across cancer types: a systematic review and meta-analysis
2026-05-28 · 8 authors here
Additional file 4 of Machine learning for postoperative complication prediction and early recurrence risk assessment across cancer types: a systematic review and meta-analysis
2026-05-28 · 8 authors here
Additional file 4 of Machine learning for postoperative complication prediction and early recurrence risk assessment across cancer types: a systematic review and meta-analysis
2026-05-28 · 8 authors here
Additional file 3 of Machine learning for postoperative complication prediction and early recurrence risk assessment across cancer types: a systematic review and meta-analysis
2026-05-28 · 8 authors here
Additional file 5 of Machine learning for postoperative complication prediction and early recurrence risk assessment across cancer types: a systematic review and meta-analysis
2026-05-28 · 8 authors here
Additional file 5 of Machine learning for postoperative complication prediction and early recurrence risk assessment across cancer types: a systematic review and meta-analysis
2026-05-28 · 8 authors here
Additional file 8 of Machine learning for postoperative complication prediction and early recurrence risk assessment across cancer types: a systematic review and meta-analysis
2026-05-28 · 8 authors here
Additional file 3 of Machine learning for postoperative complication prediction and early recurrence risk assessment across cancer types: a systematic review and meta-analysis
2026-05-28 · 8 authors here
Additional file 7 of Machine learning for postoperative complication prediction and early recurrence risk assessment across cancer types: a systematic review and meta-analysis
2026-05-28 · 8 authors here
Additional file 6 of Machine learning for postoperative complication prediction and early recurrence risk assessment across cancer types: a systematic review and meta-analysis
2026-05-22 · 2 authors here
Why do I use generative artificial intelligence (GenAI) to seek health information? A perceptual perspective of GenAI users
2026-05-01 · 6 authors here
RSCO-Net: A refined single candidate optimizer for multimodal colorectal cancer postoperative recurrence prediction
2026-04-16 · 8 authors here
ToMo-UDA++: Unsupervised Domain Adaptation for Anatomical Structure Detection Using Enhanced Topology and Morphology Knowledge
2026-03-13 · 3 authors here
Personality, usage, and perceptions of AI in medical education: evidence from senior pre-clinical students in China
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