Results 311 to 320 of about 2,029,918 (370)

Analysis of hospital costs for robotic and open pancreatectomy incurred during the implementation of a robotic pancreatectomy program at a cancer center

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
In this matched cohort study, total costs associated with robotic pancreatectomy were significantly lower than those associated with open pancreatectomy. High intraoperative costs associated with robotic pancreatectomies can be mitigated by other hospital related factors such as length of stay, number of medication prescriptions, and standardization of
Heather G. Lyu   +9 more
wiley   +1 more source

AInsectID Version 1.1: An Insect Species Identification Software Based on the Transfer Learning of Deep Convolutional Neural Networks

open access: yesAdvanced Intelligent Discovery, EarlyView.
This paper describes the basis for AInsectID Version 1, a GUI‐operable open‐source insect species identification, color processing, and image analysis software. This paper discusses our methods of algorithmic development, coupled to rigorous machine training used to enable high levels of validation accuracy.
Haleema Sadia, Parvez Alam
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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