Identifiers
Papers
Documents in the 44B Library with Nanjing Medical University on the authorship, newest first.
2026-07-27 · 8 authors here
A Lightweight Hybrid Network for Medical Image Segmentation With Adaptive Feature Selection
2026-07-24 · 10 authors here
Chinese expert concern and consensus on applications of artificial intelligence in clinical cancer imaging
2026-07-20 · 8 authors here
From Empirical Scales to Multimodal Data-Driven Approaches: The Role of Artificial Intelligence
2026-07-15 · 6 authors here
Evaluating large language models for diabetic retinopathy multiple-choice question generation in clinical ophthalmic education
2026-07-03 · 7 authors here
Multi-scale and context-aware enhanced YOLOv8 for breast tumor detection in ultrasound images
2026-06-27 · 5 authors here
Generative AI in healthcare: redefining clinical practice through digital transformation
2026-06-24 · 9 authors here
MILGDF: a multi-task, instance-level supervised model for oral squamous cell carcinoma integrating local-global attention and dynamic decision fusion
2026-06-20 · 9 authors here
Fine-grained lung cancer object detection via dilated reparameterization and explicit positional gating optimization
2026-06-16 · 3 authors here
From automation to augmentation: a retrieval-augmented large language model framework for reshaping learning experiences in higher education
2026-06-09 · 2 authors here
[From digitalization to embodied intelligence: technological innovation and paradigm shift in clinical stomatology].
2026-06-08 · 2 authors here
Can artificial intelligence outperform experts in assessing clinical skills? Evidence from a comparative experiment
2026-06-05 · 7 authors here
MILGDF: A Multi‐Task Instance‐Level Supervised Learning Framework for Oral Cancer Incorporating Local‐Global Attention Mechanisms With Adaptive Decision Fusion
2026-06-01 · 17 authors here
A Clinically Interpretable AI System for Real-Time Quality Control of Transthoracic Echocardiography: Development, Validation, and Deployment
2026-05-29 · 10 authors here
Research on Pathological Voice Recognition Based on XGBoost
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
Funding
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