Type
Education
Country
China
CN
Documents
593
through any edge
Papers
593
authorship edges
Awards made
—
Named as funder
—
Identifiers
Papers
Documents in the 44B Library with Chinese Academy of Medical Sciences & Peking Union Medical College on the authorship, newest first.
2026-07-25 · 7 authors here
Performance of Large Language Models in Automated Medical Literature Screening: A Systematic Review and Meta‐Analysis
2026-07-22 · 11 authors here
Shaping the future of cancer screening with artificial intelligence-empowered multi-cancer early detection
2026-07-20 · 21 authors here
AI-driven tumor heterogeneity quantification and survival prediction in pancreatic ductal adenocarcinoma
2026-07-15 · 4 authors here
Beyond acceptance: bounded use of AI and VR in orthopedic education
2026-07-09 · 8 authors here
Portraying Ethical Risks of Medical AI: Mixed Methods Study From Connotation Definition to a Survey on Physicians’ Cognition
2026-07-01 · 27 authors here
Comprehensive guidelines for establishing sample diversity and data sufficiency in artificial intelligence diagnostic datasets for cervical liquid-based cytology
2026-06-29 · 6 authors here
Artificial Intelligence Performance Under Different Conditions in Answering China's Standardized Training Examination for Resident Physician in Radiology: A Comparative Analysis
2026-06-25 · 7 authors here
Oral squamous cell carcinoma diagnosis: an interpretable deep learning approach using multi-scale pathological images
2026-06-21 · 8 authors here
Development and Deployment of DeepSeek‐Based Applications in Healthcare: A Chinese Perspective
2026-06-20 · 9 authors here
Evaluation of ChatGPT-4o’s and DeepSeek R1’s responses to urological problems: a comparative study
2026-06-18 · 6 authors here
Evolution of artificial intelligence in breast cancer pathology: a bibliometric analysis
2026-06-17 · 4 authors here
Knowledge localization is associated with higher performance of domestic large language models in a Chinese radiation oncology examination
2026-06-17 · 9 authors here
Development and validation of an interpretable machine learning model for predicting 5-year major adverse cardiovascular events in patients with coronary artery disease
2026-06-11 · 14 authors here
Tortoise plastron versus adulterants: identification and comparative study using image recognition technology
2026-06-11 · 8 authors here
A Multi-Agent clinical pre-consultation system for structuring noisy patient reported information into clinical reports and AI-ready data
2026-06-08 · 41 authors here
Receptiveness of physicians towards artificial intelligence-driven drug prescription: a nationwide survey
2026-06-08 · 8 authors here
A multi-task deep learning framework for simultaneous prediction of microsatellite instability and tumor mutational burden in gastric cancer from histopathological images
2026-06-08 · 9 authors here
From raw audio to structure: an agent-based pipeline that boosts medical LLM performance
2026-06-04 · 6 authors here
A Large Language Model–Powered Multiagent Framework Emulating Standardized Patients in Clinical Communication Skills Training: Development and Evaluation Study
2026-06-01 · 13 authors here
Predicting the causes of unplanned reoperations using an AI-based multimodal system: a multicentre, multidepartmental study based on EMRs
2026-06-01 · 4 authors here
CMM-EmbedCluster: a clustering framework for Chinese materia medica based on large language model and Chinese materia medica property theory
2026-05-20 · 2 authors here
The impact of an AI Digital Teacher on human-AI collaborative learning in higher education
2026-05-14 · 13 authors here
A foundational model encodes deep phenotyping data and enables diverse downstream applications
2026-05-13 · 2 authors here
Interpretable candidate drug prioritization and explanation framework across-medical knowledge graphs based on graph embedding models: A case study of type 2 diabetes
2026-05-07 · 8 authors here
Integration of large language models and evidence-based Chinese medicine: A scoping review
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