Results 111 to 120 of about 1,290,230 (255)

Enhancing Sensitivity across Scales with Highly Sensitive Hall Effect‐Based Auxetic Tactile Sensors

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Herein, a tactile sensor based on hall‐effect sensors with an auxetic structure, called Hall effect‐based auxetic tactile sensor (HEATS), is proposed. The change in magnetism resulting from the deformation of the auxetic structure is utilized for sensing.
Youngheon Yun   +6 more
wiley   +1 more source

Chest Computed Tomography Protocol and its Adaptation in pulmonary embolism

open access: yes, 2020
Bakalaura darbā ir aprakstīta un analizēta literatūra par tematu "Protokola pielāgošana datortomogrāfijā krūšu kurvja izmeklējumos pie plaušu artēriju trombembolijas".
Vārna, Veronika
core  

Letter by Lippi and Cervellin regarding article, "High-sensitivity troponin T concentrations in acute chest pain patients evaluated with cardiac computed tomography".

open access: yes, 2011
High-sensitivity troponin T concentrations in acute chest pain patients evaluated with cardiac computed ...
Giuseppe Lippi   +3 more
core   +1 more source

A High‐Precision Dynamic Movement Recognition Algorithm Using Multimodal Biological Signals for Human–Machine Interaction

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article describes a multimodal fusion data acquisition and processing system about electromyography for dynamic movement recognition and bioelectrical impedance for key posture recognition. In addition, a new dynamic–static fusion algorithm strategy is designed.
Chenhao Cao   +5 more
wiley   +1 more source

Articular Findings on Chest Computed Tomography: An Algorithmic Approach for Radiologists.

open access: yes, 2022
Chest computed tomography (CT) is one of the most frequently performed imaging studies. Incidental osseous and articular findings are commonly encountered in chest CTs in daily practice. The spectrum of findings is broad, varying from benign to malignant,
Kosaraju, Vijay K, MD   +8 more
core   +1 more source

Sports Activity Recognition Using Textile‐Based Sensor Fusion and Complex‐Valued Residual Convolutional Neural Networks

open access: yesAdvanced Intelligent Systems, EarlyView.
Motion artifacts in electrocardiographic signals, conventionally dismissed as noise, are shown to encode discriminative activity information. A smart t‐shirt fusing textile strain sensors with textile ECG electrodes, processed through a complex‐valued residual network, recognizes 12 sport activities.
Nada Al‐azzawi   +4 more
wiley   +1 more source

Adenocarcinoma masked by re‐expansion pulmonary edema after chest drainage for pneumothorax

open access: yesThoracic Cancer, 2019
Re‐expansion pulmonary edema is a rare complication that may occur after chest drainage performed for pneumothorax. This condition manifests as areas of ground‐glass opacities (GGO) and septal thickening on imaging studies.
Jae Jun Jung   +3 more
doaj   +1 more source

Implantable Systems for Cardiovascular Treatment and Monitoring: Comparative Insights From Intracardiovascular and Extracardiovascular Technologies

open access: yesAdvanced Intelligent Systems, EarlyView.
A unifying device–cardiovascular interface framework is presented to classify implantable cardiovascular technologies as intracardiovascular blood‐contacting systems or extracardiovascular tissue‐only and blood‐handling architectures. Cross‐class comparison across shared semiquantitative criteria, including blood‐contact burden, biomimicry ...
Bergo Nicolò   +7 more
wiley   +1 more source

The role of radiological diagnostic methods in complicated combat chest trauma

open access: yesУкраїнський журнал клінічної хірургії
Objective. To evaluate the effectiveness of radiation methods for diagnosing combat chest trauma at the stage of specialised surgical care. Materials and methods.
M. P. Sukhomlin
doaj   +1 more source

Artificial Intelligence for Benign Esophageal Stricture Dilation: An Evidence‐Transferability Framework and Safety‐First Roadmap

open access: yesAI &Innovation, EarlyView.
ABSTRACT Background Endoscopic dilation is first‐line therapy for symptomatic benign esophageal strictures but remains operator‐dependent. Artificial intelligence (AI) could support assessment, risk stratification, and documentation; however, evidence from adjacent tasks is often mistaken for procedure‐specific validation.
Ahmed A. Salman, Mohamed A. Salman
wiley   +1 more source

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