Results 131 to 140 of about 3,141 (218)

Understanding Cardiac Anatomy and Imaging to Improve Safety of Procedures: 12-Lead Electrocardiographic Anatomy. [PDF]

open access: yesJACC Case Rep
Bradfield EP   +9 more
europepmc   +1 more source

Deep learning‐assisted design of nanozyme for immune regulation

open access: yesJournal of Intelligent Medicine, EarlyView.
Overview of nanozyme‐based strategies for inflammatory bowel disease therapy, featuring metal‐based and non‐metallic nanozymes classified by structure, alongside multifunctional and engineered probiotic‐based nanozymes classified by function. Abstract Inflammatory bowel disease (IBD), with rising global incidence and disease burden, is a multifactorial
Ke Chen   +3 more
wiley   +1 more source

Assessment of Robustness of MRI Radiomic Features in Four Abdominal Organs: Impact of Deep Learning Reconstruction and Segmentation

open access: yesJournal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background The impact of deep learning (DL) reconstruction and segmentation on MRI radiomics stability has not been fully assessed. Purpose To investigate the effects of acquisition, reconstruction, and segmentation on the reproducibility and variability of radiomic features in abdominal MRI. Study Type Prospective.
Jingyu Zhong   +14 more
wiley   +1 more source

A pictural guide to postmortem examination of elephants. [PDF]

open access: yesPLoS One
Falkenau A   +29 more
europepmc   +1 more source

Characterization of Pulmonary Functional Abnormalities in Systemic Sclerosis Using Xenon MRI

open access: yesJournal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Xenon MRI is increasingly used to evaluate patients with interstitial lung disease (ILD) and pulmonary hypertension (PH), both of which are common manifestations of systemic sclerosis (SSc). As such, Xe‐MRI may be suited to interrogate lung function impairment in SSc.
Dawson Shaver   +11 more
wiley   +1 more source

Postprandial Changes in Thoracic Aortic Flow Detected by 4D Flow MRI May Influence Study Results

open access: yesJournal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background While there is a growing body of data using 4D flow MRI to distinguish between normal and abnormal blood flow values in the thoracic aorta, the extent of physiological variation or lack thereof is potentially undervalued. Physiological processes such as postprandial changes to hemodynamics might influence data, normal values, follow‐
Maren Friederike Balks   +11 more
wiley   +1 more source

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