Results 101 to 110 of about 140,917 (149)

Pneumonectomy for a hepatic hydatid cyst ruptured in the thorax: A case report. [PDF]

open access: yesInt J Surg Case Rep
Bouassida I   +5 more
europepmc   +1 more source

A Wearable Soft Actuator for Directional Tactile Stimulation: Design and Testing

open access: yesAdvanced Intelligent Systems, EarlyView.
A wearable actuator able to produce directional tactile stimulation is obtained by embedding a planar shape memory spring in silicone matrix. The matrix is designed taking into account skin characteristics and leveraging its multifunctionality: it acts as a bias load, improves the thermal behavior of the spring and wearability.
Fabio Lazzari   +6 more
wiley   +1 more source

Assessing Large Multimodal Models for One‐Shot Learning and Interpretability in Biomedical Image Classification

open access: yesAdvanced Intelligent Systems, EarlyView.
Image classification plays a pivotal role in biomedical image analysis. Herein, it is shown that large multimodal models, such as GPT‐4, achieve superior performance in one‐shot learning, generalization, interpretability, and text‐driven image classification. Applications span tissue, cell type, cellular state, and disease classification, outperforming
Wenpin Hou   +4 more
wiley   +1 more source

Multi‐Risk‐Level Sarcopenia‐Prone Screening via Machine Learning Classification of Sit‐to‐Stand Motion Metrics from Wearable Sensors

open access: yesAdvanced Intelligent Systems, EarlyView.
A machine learning approach utilizes micro inertial measurement units (μIMUs) for noninvasive sarcopenia screening through a sit‐to‐stand test. With 53 older participants wearing IMUs, 510 features are extracted across four motion phases. Five algorithms (support vector machine, K‐nearest neighbors, decision tree, linear discriminant analysis, and ...
Keer Wang   +11 more
wiley   +1 more source

Deep‐Learning Model for Central Nervous System Infection Diagnosis and Prognosis Using Label‐Free 3D Immune‐Cell Morphology in the Cerebrospinal Fluid

open access: yesAdvanced Intelligent Systems, EarlyView.
Early diagnosis and prognosis prediction of central nervous system infections are critical. This study introduces a deep‐learning model utilizing cerebrospinal fluid immune‐cell morphology captured via 3D holotomography. The model effectively predicts infection etiology and prognosis, achieving high accuracy.
Bo Kyu Choi   +5 more
wiley   +1 more source

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