JADE-Plus: A Multimodal Agentic Retrieval-Augmented Generation Large Language Framework for Diagnostic Support in Jawbone Lesions: Development and Technical Validation Study [0.03%]
JADE-Plus：用于下颌骨病变诊断支持的多模态代理检索增强生成大型语言框架：开发与技术验证研究
Soroush Baseri Saadi,Jonas Ver Berne,Rocharles Cavalcante Fontenele et al.
Soroush Baseri Saadi et al.
Diagnosing jawbone lesions in oral and maxillofacial radiology remains challenging due to overlapping radiological features and the need for integrated clinical reasoning. This study aimed to develop and validate JADE-Plus, a novel multimod...
Machine Learning-Based Privacy Preserving via CT/MRI and Organ Metadata Prediction [0.03%]
基于机器学习的隐私保护技术研究：通过CT/MRI及器官元数据预测实现医疗影像匿名化
Riwei Jin,Salman Mohamadi,Matthew T Bramlet et al.
Riwei Jin et al.
Medical imaging plays a significant role in diagnosis and treatment planning, with significant efforts focused on training machine learning (ML) algorithms to perform detection and classification automatically. However, concerns regarding p...
AI-Based Segmental Volumetry of the Downstream Aorta in Aortic Dissection: End-to-End Versus Hybrid Strategies [0.03%]
主动脉夹层降主动脉节段容积的基于人工智能的测量：端到端与混合策略
Yu Nakano,Satoshi Nishi,Ikki Kojima et al.
Yu Nakano et al.
Automated segmental volumetry is effective for aortic dissection surveillance but lacks standardization. This study aimed to identify the optimal deep learning workflow by comparing a direct "end-to-end" approach with a "hybrid" strategy in...
BrainGAN Framework for Generating Synthetic Contrast-Enhanced Multisequence MRI in Brain Metastases [0.03%]
一种生成脑转移瘤对比增强多序列MRI的合成数据的BrainGAN框架
Merve Solak,Murat Tören,Berkutay Asan et al.
Merve Solak et al.
Contrast-enhanced MRI (CE-MRI) is routinely used to evaluate brain metastases (BMs); however, concerns regarding gadolinium-based contrast agents have prompted interest in alternative image generation strategies. This study investigated the...
Anatomically Localized Detection of Six Acute Abdominal Emergencies on CT Using Multi-window Deep Learning: Development and Validation [0.03%]
基于多窗口深度学习的六种急腹症CT解剖定位检测方法的研究与验证
Hasan Mete Erdoğan,Ural Koç
Hasan Mete Erdoğan
The purpose of this study is to develop and retrospectively validate a deep learning system for the classification and anatomically interpretable localization of six acute abdominal emergencies on CT using multi-window Hounsfield Unit (HU) ...
DSGH-Net: Medical Image Segmentation via Dual-Statistical Dynamic Context and Graph-Convolutional Heterogeneous Decoder [0.03%]
基于双统计动态上下文和图卷积异构解码器的医学图像分割方法
Jiying Ma,Di Long,Pengfei Li
Jiying Ma
Accurate segmentation of medical images is crucial for assisting clinical diagnosis and treatment planning. However, automatic segmentation remains highly challenging due to significant variations in the size and morphology of lesions, as w...
Acceptance and Utilization of Picture Archiving and Communication Systems in Emergency Departments: A TAM-Based Study in Palestinian Governmental Hospitals [0.03%]
基于技术接受模型的 Palestine 公立医院急诊科医护人员对影像归档和通信系统接纳及使用研究
Saleh Mahmoud Thiab,Ali Abu Arra,Abed Al Nasser Assi et al.
Saleh Mahmoud Thiab et al.
In the world of healthcare, picture archiving and communication systems (PACS) have emerged as a crucial part of the medical framework, providing an efficient method for storing, retrieving, transmitting, and displaying medical images. The ...
Gonial Angle Estimation on Dental Panoramic X-Rays Using Deep Learning: A Transfer Learning Approach for Keypoint Detection [0.03%]
基于深度学习的牙科全景X射线咬合角估计：用于关键点检测的迁移学习方法
Muhammet Üsame Öziç,Serap Akdoğan,Melek Tassoker
Muhammet Üsame Öziç
This study aims to estimate the gonial angle from dental panoramic radiographs using deep learning models with transfer learning and keypoint detection. A dataset of 1000 panoramic X-rays collected between 2023 and 2024 was used. Three anat...
MRI Radiomics for Preoperative Microvascular Invasion Stratification in Hepatocellular Carcinoma: Comparative Analysis of Intratumoral, Peritumoral, and Combined Intratumoral-Peritumoral Approaches-A Systematic Review and Meta-analysis [0.03%]
基于术前微血管浸润分层的肝细胞癌MRI影像组学：瘤内、瘤周及联合瘤内-瘤周方法比较分析系统回顾和meta分析
Mehrad Zare,Alisa Mohebbi,Iman Kiani et al.
Mehrad Zare et al.
Microvascular invasion (MVI) represents a critical prognostic determinant in hepatocellular carcinoma (HCC), yet preoperative prediction remains challenging. MRI-based radiomics offers promise for noninvasive MVI stratification through quan...
Cross-Center Online Generalization Algorithm with Unadversarial Consistency for Fetal Heart Ultrasound View Recognition [0.03%]
具有非对抗一致性的跨中心在线泛化算法在胎儿心脏超声视图识别中的应用
Yiman Liu,Tongtong Liang,Jiahe Tian et al.
Yiman Liu et al.
Fetal congenital heart disease (FCHD) remains a leading cause of infant mortality globally, yet the clinical deployment of deep learning models for automated fetal echocardiographic view recognition faces performance degradation due to doma...