Diagnostic accuracy of radiomics-based machine learning for neoadjuvant chemotherapy response and survival prediction in gastric cancer patients: A systematic review and meta-analysis [0.03%]
基于放射组学的机器学习在胃癌患者新辅助化疗反应和生存预测中的诊断准确性：系统评价和荟萃分析
Diliyaer Adili,Aibibai Mohetaer,Wenbin Zhang
Diliyaer Adili
Background: In recent years, researchers have explored the use of radiomics to predict neoadjuvant chemotherapy outcomes in gastric cancer (GC). Yet, a lingering debate persists regarding the accuracy of these predictions...
Diagnostic value of liver stiffness measurement combined with risk scores for esophagogastric variceal bleeding in patients with hepatitis B cirrhosis [0.03%]
肝硬度检测联合风险评分预测乙型肝炎肝硬化食管胃底静脉曲张出血的诊断价值
Li-Yan Lin,Da-Wu Zeng,Yu-Rui Liu et al.
Li-Yan Lin et al.
Purpose: To assess the predictive value of liver stiffness measurement (LSM) and three bleeding risk scoring systems for esophagogastric varices bleeding (EGVB) in patients with hepatitis B cirrhosis during hospitalizatio...
Towards clinical implementation of an AI-algorithm for detection of cervical spine fractures on computed tomography [0.03%]
人工智能算法在颈椎骨折计算机断层扫描检测中的临床应用展望
Huibert C Ruitenbeek,Edwin H G Oei,Bart L Schmahl et al.
Huibert C Ruitenbeek et al.
Background: Artificial intelligence (AI) applications can facilitate detection of cervical spine fractures on CT and reduce time to diagnosis by prioritizing suspected cases. ...
Using deep learning-based denoising and iterative reconstruction to reduce radiation exposure - How low can we go? [0.03%]
利用基于深度学习的去噪和迭代重建来降低辐射剂量 - 辐射量可以降到多低？
Philipp Schindler,Mirjam Gerwing
Philipp Schindler
A comparative study of image quality and diagnostic confidence in diagnosis and follow-up of scaphoid fractures using photon-counting detector CT and energy-integrating detector CT [0.03%]
光子计数探测器CT与能量积分探测器CT在舟状骨骨折诊断及随访中图像质量及诊断信心的对比研究
Nina Kämmerling,Erik Tesselaar,Ronald Booij et al.
Nina Kämmerling et al.
Purpose: Scaphoid fractures in patients and assessment of healing using PCD-CT have, as far as we know, not yet been studied. Therefore, the aim was to compare photon counting detector CT (PCD-CT) with energy integrating ...
Prediction of bowel necrosis by reduced bowel wall enhancement in closed-loop small bowel obstruction: Quantitative methods [0.03%]
通过闭袢性小肠梗阻中降低的肠壁增强作用预测肠坏死：定量方法
Bing-Qi Li,Wei-Jun Qi,Meng Yuan et al.
Bing-Qi Li et al.
Purpose: To assess diagnostic performance and reproducibility of reduced bowel wall enhancement evaluated by quantitative methods using CT to identify bowel necrosis among closed-loop small bowel obstruction (CL-SBO) pati...
Design and validation of a decision support checklist for efficient resource allocation in research projects during proposal preparation [0.03%]
在研究项目提案准备过程中有效分配资源的决策支持检查列表的设计与验证
Ana Penadés-Blasco,Leonor Cerdá-Alberich,José Miguel Carot Sierra et al.
Ana Penadés-Blasco et al.
Purpose: This article presents the design and validation of evaluation criteria checklist aimed at facilitating decision-making processes regarding participation in research projects and allocation of resources before the...
AI-based automated detection and stability analysis of traumatic vertebral body fractures on computed tomography [0.03%]
基于人工智能的创伤性椎体骨折的CT自动检测及稳定性分析
Constanze Polzer,Eren Yilmaz,Carsten Meyer et al.
Constanze Polzer et al.
Purpose: We developed and tested a neural network for automated detection and stability analysis of vertebral body fractures on computed tomography (CT). ...
MRI only detected lesions: Can contrast enhanced mammography guided biopsy be an alternative method: Initial clinical findings [0.03%]
仅MRI检出病灶：对比增强型乳腺摄影引导的活检能否成为替代方法：初步临床结果
Erkin Aribal,Nilgun Guldogan,Mustafa Ege Seker et al.
Erkin Aribal et al.
Objective: This study aims to analyze our initial findings regarding CEM-guided stereotactic vacuum-assisted biopsy for MRI-only detected lesions and compare biopsy times by MRI-guided biopsy. ...
Quantitative evaluation of Saliency-Based Explainable artificial intelligence (XAI) methods in Deep Learning-Based mammogram analysis [0.03%]
基于注意力的可解释人工智能（XAI）方法在深度学习乳腺图分析中的定量评估
Esma Cerekci,Deniz Alis,Nurper Denizoglu et al.
Esma Cerekci et al.
Background: Explainable Artificial Intelligence (XAI) is prominent in the diagnostics of opaque deep learning (DL) models, especially in medical imaging. Saliency methods are commonly used, yet there's a lack of quantitat...