Improving Normal/Abnormal and Benign/Malignant Classifications in Mammography with ROI-Stratified Deep Learning [0.03%]
基于感兴趣区域的深度学习在乳腺X线摄影中的应用：改善良恶性及病理性分类
Kenji Yoshitsugu,Kazumasa Kishimoto,Tadamasa Takemura
Kenji Yoshitsugu
Deep Learning (DL) has undergone widespread adoption for medical image analysis and diagnosis. Numerous studies have explored mammographic image analysis for breast cancer screening. For this study, we assessed the hypothesis that stratifyi...
Unveiling the Digital Phenotype of Physical Activity Behavior in Community-Dwelling Older Adults Using Machine Learning [0.03%]
基于机器学习揭开社区居住老年人体力活动行为的数字表型
Anas Abdulghani,Kim Daniels,Bruno Bonnechère
Anas Abdulghani
Physical activity (PA) is an important factor for maintaining health and well-being, especially in older adults. This study aims to apply machine learning methods to predict PA patterns and identify key factors influencing these behaviors a...
MicroRNA Signatures of Prostate Cancer Spheroids in Microfluidic Culture Under Hormone-Deprivation Conditions [0.03%]
荷尔蒙匮乏条件下微流体培养的前列腺癌类器官的MicroRNA标志物分析
Kamaldeep Saini,Theresa Kordaß,Zita Zena et al.
Kamaldeep Saini et al.
Background: Prostate cancer (PCa) is prevalent in men over 65 and requires effective clinical management. Standard PCa therapies often offer positive outcomes; however, its castration-resistant form (CRPC) is aggressive a...
Identifying High-Risk Pre-Term Pregnancies Using the Fetal Heart Rate and Machine Learning [0.03%]
基于胎儿心率和机器学习的高危早产筛查模型
Gabriel Davis Jones,William R Cooke,Manu Vatish
Gabriel Davis Jones
Fetal heart rate (FHR) monitoring is ubiquitous in antenatal care, yet human visual interpretation poorly predicts adverse pregnancy outcomes. Meanwhile, preterm gestations carry a high burden of stillbirth and severe fetal compromise, wher...
Development and Biomechanical Evaluation of a Modular Knee Prosthesis: From Conceptual V1 Design to an Improved V3 Model [0.03%]
模块化膝关节假肢的开发及生物力学评估：从概念性V1型到改进型V3型
Samal Abdreshova,Sayat Akhmejanov,Kassymbek Ozhikenov et al.
Samal Abdreshova et al.
This study investigates the functional capabilities and accessibility limitations of current knee prostheses while developing and evaluating a three-stage prosthetic system (V1-V3). The primary objective is to design a cost-effective knee p...
Histopathological Evaluation of Bioactive Glass Wound Sites in a Swine Model [0.03%]
生物活性玻璃烧伤伤口的病理学评价-猪模型研究
Daniel A Rabin,Aneeq S Chaudhry,Tarifa H Adam et al.
Daniel A Rabin et al.
Chronic wounds, including diabetic foot ulcers (DFUs), venous leg ulcers (VLUs), and pressure injuries, remain a major global health burden and contribute substantially to Medicare spending. Because traditional wound dressings fail to addre...
Novel Experimental Setup for Ascending Thoracic Aortic Aneurysm Inflation Testing [0.03%]
胸主动脉瘤膨胀试验的新实验装置研究
Hugo Mesquita Vasconcelos,Daniela Azevedo,Rodrigo Valente et al.
Hugo Mesquita Vasconcelos et al.
Degraded mechanical properties in the aortic wall can lead to the formation of aortic aneurysms, potentially resulting in life-threatening ruptures. Current diagnostic criteria using maximum aortic diameter often fail to predict this critic...
Explainability of a Deep Learning Model for Mediastinal Lymph Node Station Classification in Endobronchial Ultrasound (EBUS) [0.03%]
基于内镜超声支气管术(EBUS)的纵隔淋巴结分期的深度学习模型解释性研究
Øyvind Ervik,Mia Rødde,Erlend Fagertun Hofstad et al.
Øyvind Ervik et al.
Accurate localization of thoracic lymph nodes during endobronchial ultrasound (EBUS) is crucial for lung cancer staging, treatment planning, and prognostication. Artificial intelligence (AI) has the potential to support this process. Deep l...
Development and Preliminary Assessment of a Tendon-Driven Thumb-Index Prosthesis with a Novel Hobbed-Pulley Actuation Mechanism [0.03%]
一种新型梯轮传动机构驱动的肌腱式拇指对掌假手的研发与初步评估研究
Patrícia Gomes,Pedro J S C P Sousa,João Nunes et al.
Patrícia Gomes et al.
Prosthetic hands have seen significant improvements in recent years, enabling increasingly more natural interactions between patients with upper limb loss and their environment. Nonetheless, progress is continuously being made to enhance us...
Applications of 3D Printing and Artificial Intelligence in Healthcare Management: A Narrative Review [0.03%]
基于3D打印和人工智能的医疗管理应用研究：综述性论文
Conrado Domínguez Trujillo,Donato Monopoli Forleo,Carmen Delia Dávila Quintana et al.
Conrado Domínguez Trujillo et al.
The integration of 3D printing and artificial intelligence is transforming healthcare management by driving innovations in personalized care, supply chain operations, and clinical workflows. This review offers a comprehensive overview and i...