A 3D Convolutional Neural Network Based on Non-enhanced Brain CT to Identify Patients with Brain Metastases [0.03%]
基于非增强型脑CT的三维卷积神经网络在识别脑转移患者中的应用
Tony Felefly,Ziad Francis,Camille Roukoz et al.
Tony Felefly et al.
Dedicated brain imaging for cancer patients is seldom recommended in the absence of symptoms. There is increasing availability of non-enhanced CT (NE-CT) of the brain, mainly owing to a wider utilization of Positron Emission Tomography-CT (...
The Fine-Tuned Large Language Model for Extracting the Progressive Bone Metastasis from Unstructured Radiology Reports [0.03%]
经精细调整的大型语言模型从非结构化放射学报告中提取进展性骨转移灶
Noriko Kanemaru,Koichiro Yasaka,Nana Fujita et al.
Noriko Kanemaru et al.
Early detection of patients with impending bone metastasis is crucial for prognosis improvement. This study aimed to investigate the feasibility of a fine-tuned, locally run large language model (LLM) in extracting patients with bone metast...
Predicting Pathological Characteristics of HER2-Positive Breast Cancer from Ultrasound Images: a Deep Ensemble Approach [0.03%]
基于超声图像的HER2阳性乳腺癌病理特征的深度学习集成预测方法
Zhi-Hui Chen,Hai-Ling Zha,Qing Yao et al.
Zhi-Hui Chen et al.
The objective is to evaluate the feasibility of utilizing ultrasound images in identifying critical prognostic biomarkers for HER2-positive breast cancer (HER2 + BC). This study enrolled 512 female patients diagnosed with HER2-positive brea...
Eric K Lai,Evan Slavik,Bessie Ganim et al.
Eric K Lai et al.
The widespread availability of smart devices has facilitated the use of medical photography, yet photodocumentation workflows are seldom implemented in healthcare organizations due to integration challenges with electronic health records (E...
DECNet: Left Atrial Pulmonary Vein Class Imbalance Classification Network [0.03%]
DECNet：左心房肺静脉分类不平衡校正网络
GuoDong Zhang,WenWen Gu,TingYu Liang et al.
GuoDong Zhang et al.
In clinical practice, the anatomical classification of pulmonary veins plays a crucial role in the preoperative assessment of atrial fibrillation radiofrequency ablation surgery. Accurate classification of pulmonary vein anatomy assists phy...
Lesion Classification by Model-Based Feature Extraction: A Differential Affine Invariant Model of Soft Tissue Elasticity in CT Images [0.03%]
基于模型的特征提取下的病变分类：CT图像下软组织弹性的一种微分仿射不变模型
Weiguo Cao,Marc J Pomeroy,Zhengrong Liang et al.
Weiguo Cao et al.
The elasticity of soft tissues has been widely considered a characteristic property for differentiation of healthy and lesions and, therefore, motivated the development of several elasticity imaging modalities, for example, ultrasound elast...
2023 Industry Perceptions Survey on AI Adoption and Return on Investment [0.03%]
2023年人工智能采纳及投资回报行业认知调查
Mitchell Goldburgh,Michael LaChance,Julia Komissarchik et al.
Mitchell Goldburgh et al.
This SIIM-sponsored 2023 report highlights an industry view on artificial intelligence adoption barriers and success related to diagnostic imaging, life sciences, and contrasts. In general, our 2023 survey indicates that there has been prog...
Confidence-Aware Severity Assessment of Lung Disease from Chest X-Rays Using Deep Neural Network on a Multi-Reader Dataset [0.03%]
基于多阅片员数据集的胸部X光深神经网络自信程度意识性肺部疾病严重性评估
Mohammadreza Zandehshahvar,Marly van Assen,Eun Kim et al.
Mohammadreza Zandehshahvar et al.
In this study, we present a method based on Monte Carlo Dropout (MCD) as Bayesian neural network (BNN) approximation for confidence-aware severity classification of lung diseases in COVID-19 patients using chest X-rays (CXRs). Trained and t...
From Revisions to Insights: Converting Radiology Report Revisions into Actionable Educational Feedback Using Generative AI Models [0.03%]
从修订到见解：使用生成式AI模型将放射学报告修订转换为可操作的教育反馈
Shawn Lyo,Suyash Mohan,Alvand Hassankhani et al.
Shawn Lyo et al.
Expert feedback on trainees' preliminary reports is crucial for radiologic training, but real-time feedback can be challenging due to non-contemporaneous, remote reading and increasing imaging volumes. Trainee report revisions contain valua...
Deep Learning-Based Model for Non-invasive Hemoglobin Estimation via Body Parts Images: A Retrospective Analysis and a Prospective Emergency Department Study [0.03%]
基于深度学习的非侵入式血红蛋白估计模型：回顾性分析与前瞻性急诊科研究
En-Ting Lin,Shao-Chi Lu,An-Sheng Liu et al.
En-Ting Lin et al.
Anemia is a significant global health issue, affecting over a billion people worldwide, according to the World Health Organization. Generally, the gold standard for diagnosing anemia relies on laboratory measurements of hemoglobin. To meet ...