SurgflowNet: Leveraging unannotated video for consistent endoscopic pituitary surgery workflow recognition [0.03%]
基于未标注视频的内窥镜垂体手术工作流一致性识别方法研究
Anjana Wijekoon,Adrito Das,Zhehua Mao et al.
Anjana Wijekoon et al.
Surgical workflow recognition has the potential to accelerate training initiatives through the analysis of surgical videos, improve intraoperative efficiency, and support preemptive postoperative care. Unlike well-explored minimally invasiv...
MedSumGraph: enhancing GraphRAG for medical QA with summarization and optimized prompts [0.03%]
MedSumGraph：通过引入摘要和优化提示增强GraphRAG进行医疗问答
DaeHo Kim,SoYeop Yoo,OkRan Jeong
DaeHo Kim
The rapid development of large language models (LLMs) has accelerated research into applying artificial intelligence (AI) to domains such as medical question answering and clinical decision support. However, LLMs face substantial limitation...
Context-aware heterogeneous graph neural network for multi-level description and invasiveness prediction in renal cell carcinoma [0.03%]
基于上下文的异构图神经网络在肾细胞癌中的多水平描述和侵袭性预测
Xiaoming Jiang,Guoying Ji,Ye Yan et al.
Xiaoming Jiang et al.
The invasiveness prediction in renal cell carcinoma (RCC) is of significant importance for the decision of clinical surgical plans and the patients' prognosis. Currently, besides invasive pathological assessment, it mainly relies on observa...
Using artificial intelligence to predict patient wait times in the emergency department: A scoping review [0.03%]
利用人工智能预测急诊科患者的等待时间：一项综述研究
Troy Gloyn,Christina Seo,Alexandra Godinho et al.
Troy Gloyn et al.
Objective: The purpose of this review was to comprehensively explore the landscape of recently published literature on the applications of artificial intelligence (AI) in predicting individualized patient waiting times in...
Building trustworthy large language model-driven generative recommender system for healthcare decision support: A scoping review of corpus sources, customization techniques, and evaluation frameworks [0.03%]
基于文献综述的医疗决策支持中值得信赖的大语言模型驱动的生成推荐系统：语料库来源、定制技术及评估框架的研究
Shuqi Yang,Mingrui Jing,Shuai Wang et al.
Shuqi Yang et al.
Introduction: Large Language Model-Driven Generative Recommender Systems (LLM-GRSs) are playing a growing role in healthcare, particularly in clinical question-answering. This study reviews their corpus sources, customiza...
Do machine learning methods make better predictions than conventional ones in pharmacoepidemiology? A systematic review, meta-analysis, and network meta-analysis [0.03%]
系统综述、meta和网络meta分析：机器学习方法在药物流行病学中的预测能力是否优于传统方法？
Ana Paula Bruno Pena-Gralle,Mireille E Schnitzer,Sofia-Nada Boureguaa et al.
Ana Paula Bruno Pena-Gralle et al.
Objective: To synthesize existing evidence and compare the predictive performance of conventional statistical (CS) models versus machine learning (ML) methods in pharmacoepidemiology. ...
A labeled ophthalmic ultrasound dataset with medical report generation based on cross-modal deep learning [0.03%]
一种基于跨模态深度学习的眼科超声标注数据集及报告生成方法
Jing Wang,Junyan Fan,Meng Zhou et al.
Jing Wang et al.
Ultrasound imaging reveals eye morphology and aids in diagnosing and treating eye diseases. However, interpreting diagnostic reports requires specialized physicians. We present a labeled ophthalmic dataset for the precise analysis and the a...
Automated Machine Learning in medical research: A systematic literature mapping study [0.03%]
自动化机器学习在医学研究中的应用：文献计量学研究
Giovanna A Castro,Luiza G Barioto,Yu H Cao et al.
Giovanna A Castro et al.
Machine Learning (ML) techniques have become valuable tools in healthcare for tasks such as disease diagnosis, treatment planning, and clinical decision-making. However, their application often requires specialized expertise and considerabl...
Artificial intelligence in 4D flow MRI: Review of technological aspects and clinical applications [0.03%]
人工智能在4D流式MRI中的应用及临床实践综述
Jiwon Pung,Gyu-Han Lee,Hyungkyu Huh et al.
Jiwon Pung et al.
Background: Four-dimensional (4D) flow magnetic resonance imaging (MRI) has evolved into an advanced non-invasive imaging technique that enables comprehensive assessment of blood flow in cardiovascular system. Hemodynamic...
A deep representation learning algorithm on drug-target interaction to screen novel drug candidates for Alzheimer's disease [0.03%]
一种用于药物-靶点相互作用的深度表征学习算法及其在阿尔茨海默病潜在用药筛选中的应用
Xin Yuan,Lihui Gao,Yonglin Peng et al.
Xin Yuan et al.
Alzheimer's disease (AD) is a serious neurodegenerative brain disorder with complex pathophysiology. While currently available drugs can provide symptomatic benefits, they often fail to cure the disease. Thus, there is an urgent need to exp...