Biomarker-Conditioned Vision Transformers with Deformable Biomarker Attention for Alzheimer's Disease Classification [0.03%]
基于可变形生物标志物注意力的生物标志物条件视觉变换器阿尔茨海默病分类方法
Mohammed G Alsubaie,Suhuai Luo,Kamran Shaukat et al.
Mohammed G Alsubaie et al.
Alzheimer's disease (AD) classification from structural magnetic resonance imaging (MRI) remains challenging, particularly when distinguishing mild cognitive impairment (MCI) from both cognitively normal (CN) ageing and established AD. Mult...
Multimodal Large Language Models for Breast Ultrasound Report Auditing: Workflow-Error Detection, False-Positive Burden, and Limits of Key-Image Interpretation [0.03%]
多模态大型语言模型在乳腺超声报告审核中的应用：工作流错误检测、假阳性负担及关键图像解读的局限性
Mi Zou,Mengsu Xiao,Qingli Zhu et al.
Mi Zou et al.
Large language models (LLMs) are increasingly being evaluated for radiology reporting. However, the incremental value of adding report-embedded key images to report text for breast ultrasound report auditing remains unclear. This retrospect...
User Interface Design for AI-Based Medical Imaging: A Scoping Review [0.03%]
基于人工智能的医学影像的用户界面设计：范围性综述
Isabela Cristina Amaro Souza,Lilian Berton
Isabela Cristina Amaro Souza
While the graphical user interface (GUI) is fundamental to computer-aided diagnosis (CAD) systems, a significant void exists in the technical literature regarding its design and integration into clinical workflows. Bridging this gap is esse...
Retrieval-Augmented Generation in Radiology: A Scoping Review of Architectures, Imaging Applications, and Directions for Equitable Deployment [0.03%]
放射学中的检索增强生成：架构、影像应用及公平部署方向的综述性回顾
Matthew Yu Heng Wong,Huitao Li,Curtis Langlotz et al.
Matthew Yu Heng Wong et al.
Large language models (LLMs) are increasingly explored in radiology, yet concerns persist regarding hallucination and lack of factual grounding. Retrieval-augmented generation (RAG) seeks to address these limitations by coupling generative ...
Contrast-Enhanced Mammography-Based Radiomics for Predicting Ductal Carcinoma In Situ in Breast Cancer [0.03%]
基于乳腺X线造影的影像组学预测导管原位癌
Kun Zhang,Juan Qiu,Lijuan Wang et al.
Kun Zhang et al.
Our investigation focuses on developing and testing a radiomics nomogram based on contrast-enhanced mammography (CEM) and clinical factors to predict ductal carcinoma in situ (DCIS) in breast cancer. A retrospective analysis was performed o...
Development and Application of Automated Preoperative Planning System for Developmental Dysplasia of the Hip via Keypoint Selective Integration [0.03%]
基于关键点选择融合的髋关节发育不良术前规划系统的研发及应用研究
Jinghui Yao,Xiaoyou Fan,Yijian Wang et al.
Jinghui Yao et al.
This study developed and prospectively validated a deep learning-based automated preoperative planning system for developmental dysplasia of the hip (DDH) to guide osteotomy. Using 3544 anteroposterior pelvic radiographs, a selective keypoi...
Towards Explainability in Deep Learning for Detection of Five Major Intracranial Hemorrhage Subtypes on Head CT Using Multi-window DICOM Imaging and Patient-Level Cross-Validation [0.03%]
基于多窗口DICOM影像和患者级交叉验证的五类颅内出血检测的深度学习可解释性研究
H Sekkat,A El Haouat,O El Mouden et al.
H Sekkat et al.
Intracranial hemorrhage (ICH) is a time-critical neurologic emergency where delayed diagnosis can worsen outcomes. Non-contrast head CT is the first-line imaging modality, and explainable AI tools may enhance rapid detection and subtype cla...
Machine Learning Based on Multiparametric Features from Dual-Layer Detector Spectral CT for Identifying Ulcer-Like Projection in Aortic Intramural Hematoma [0.03%]
基于双层探测器CT多参数特征的机器学习在主动脉夹层血肿内膜下血肿判别中的应用
Qin Song,Yinzhen Li,Hui Duan et al.
Qin Song et al.
Aortic intramural hematoma (IMH) is a high-risk subtype of acute aortic syndrome (AAS). The presence of ulcer-like projection (ULP) significantly increases the risk of progression to dissection, aneurysm, or rupture. However, conventional c...
Comparative Study of Training Strategies for Projection-Domain Denoising in Multislice Helical CT [0.03%]
多层螺旋CT投影域去噪训练策略的比较研究
Zsolt Adam Balogh,Mahmoud Nizar Hassan,Mohammad Shahid et al.
Zsolt Adam Balogh et al.
Low-dose computed tomography (LDCT) is essential for reducing patient radiation exposure but often suffers from high noise and streak artifacts. The vast majority of publications on LDCT denoising focus on image-domain approaches. This is m...
A Scalable, Annotation-Free Pipeline for Automated CT Pelvimetry: A Validation Study with Landmark Uncertainty Analysis and Clinical Correlation [0.03%]
一种可扩展、无需标注的自动CT pelvimetry管道：具有地标不确定性分析和临床相关性的验证研究
Shih-Feng Huang,Hsin-Ping Tseng,Yu-Hsun Chen et al.
Shih-Feng Huang et al.
This study presents the validation of a fully automated, annotation-free CT pelvimetry pipeline that is built on a publicly available, interchangeable segmentation backend (here, TotalSegmentator) without task-specific retraining, derives s...