Type
Education
Country
China
CN
Documents
74
through any edge
Papers
74
authorship edges
Awards made
—
Named as funder
—
Identifiers
Papers
Documents in the 44B Library with Hebei Medical University on the authorship, newest first.
2026-07-21 · 14 authors here
Enhancing lymph node metastases assessment in breast cancer post-neoadjuvant therapy using artificial intelligence-driven diagnostics
2026-07-20 · 21 authors here
AI-driven tumor heterogeneity quantification and survival prediction in pancreatic ductal adenocarcinoma
2026-07-20 · 9 authors here
[Interpretable machine learning models for preoperative precision prediction of perineural invasion in cervical cancer to support treatment decision: a multicenter retrospective study].
2026-07-02 · 12 authors here
Artificial Intelligence for Assessment and Feedback in Medical Education: Bibliometric Mapping Study and Thematic Evidence Map
2026-06-08 · 41 authors here
Receptiveness of physicians towards artificial intelligence-driven drug prescription: a nationwide survey
2026-06-08 · 5 authors here
Federated learning for cardiovascular disease prediction: a systematic review of clinical applications, validation, and translation readiness
2026-06-04 · 15 authors here
An interpretable ultrasound-based deep learning system for early breast cancer in a Chinese population
2026-06-01 · 5 authors here
Clinical Artificial Intelligence Implementation in Routine Care: Real-World Operational Outcomes from a Provincial Health System in China
2026-05-25 · 6 authors here
Deep Learning Meets Oncology: A Paradigm Shift In Cancer Diagnosis And Precision Therapy
2026-05-20 · 9 authors here
Multicenter machine learning model for assessing the impact of malignancy on in-hospital mortality in heart failure patients: a clinical decision support system with interpretable artificial intelligence
2026-05-01 · 12 authors here
Harnessing artificial intelligence for pediatric health: Current trends and future opportunities
2026-05-01 · 3 authors here
Adaptive Rectangular and Feature‐Aware Mamba for Nuclei Segmentation in H&E Histopathology Images
2026-04-16 · 5 authors here
Identification and selection of the best artificial intelligence methods developed for detection and diagnosis of breast cancer
2026-04-07 · 14 authors here
Multimodal artificial intelligence predicts PIK3CA mutation in breast cancer from digital pathology and clinical data: a multicenter study
2026-04-06 · 6 authors here
From Pilot Trap to Institutional Capacity: A Governance Framework for Sustainable Clinical AI Implementation in Health Systems
2026-04-02 · 7 authors here
Development of a web platform for predicting fall risk in cardiovascular patients using machine learning
2026-03-10 · 14 authors here
Accuracy of Automatic Quantitative Analysis of Pathological Tissue Images Using <scp>ChatGPT</scp> Data Analyst: Comparison With Semi‐Automated Analysis in an <scp>MC38</scp> Mouse Liver Metastasis Model
2026-02-10 · 26 authors here
Development and retrospective validation of SCOUT: scalable clinical oversight of large language models via uncertainty triangulation
2026-02-01 · 14 authors here
Safety and user perception of general-purpose large language models in pediatric healthcare: Evaluations of ChatGPT by doctors and parents
2026-01-23 · 8 authors here
HMC-transducer: hierarchical mamba-CNN transducer for robust liver tumor segmentation
2026-01-13 · 9 authors here
AI-Assisted surgical vision: evaluating YOLOv8 and YOLOv12 for real-time detection in colon cancer surgery
2026-01-01 · 6 authors here
<scp>MorphoFormer</scp> : Dual‐Branch Dilated Transformer With Pathological Prior Fusion for Cervical Cell Morphology Analysis
2025-11-27 · 3 authors here
Rethinking multi-stage calibration fusion network and loss function for steel surface defect detection
2025-11-21 · 5 authors here
Multi scale deep learning quantifies Ki67 index in breast cancer histopathology images
2025-08-07 · 7 authors here
Multi-module UNet++ for colon cancer histopathological image segmentation
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