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http://dx.doi.org/10.1093/eurheartj/ehn495 | DOI Listing |
J Magn Reson Imaging
January 2025
Department of Radiology, The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine (Shenzhen Traditional Chinese Medicine Hospital), Shenzhen, China.
Background: Multifrequency MR elastography (mMRE) enables noninvasive quantification of renal stiffness in patients with chronic kidney disease (CKD). Manual segmentation of the kidneys on mMRE is time-consuming and prone to increased interobserver variability.
Purpose: To evaluate the performance of mMRE combined with automatic segmentation in assessing CKD severity.
Appl Neuropsychol Child
January 2025
Department of Psychology and Neuroscience Center, Brigham Young University, Provo, USA.
Chronic stage neuropsychological assessments of children with severe TBI typically center around a referral question and focus on assessing cognitive, behavioral, and emotional functioning, making differential diagnoses, and planning treatment. When severe TBI-related neurological deficits are subtle and fall outside commonly assessed behavioral indicators, as can happen with theory of mind and social information processing, they can go unobserved and subsequently fail to be assessed. Additionally, should chronic stage cognitive, behavioral, and emotional assessment findings fall within the average to above average range, a child experiencing ongoing significant unassessed severe TBI-related subtle deficits could be mistakenly judged to have "recovered" from their injury; and to be experiencing no significant ongoing residual neurological deficits.
View Article and Find Full Text PDFHealth Econ Rev
January 2025
Finnish Institute for Health and Welfare, PO Box 30, 00271, Helsinki, Finland.
Background: Healthcare expenditures have risen in middle- and high-income countries. One of the potential contributors is the overuse of diagnostics. I explore whether medical imaging is overused when privately owned clinics in Finland treat patients with voluntary private health insurance (VPHI).
View Article and Find Full Text PDFMed Phys
January 2025
OncoRay - National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany.
Background: Previous studies have shown that in-beam magnetic resonance imaging (MRI) can be used to visualize a proton beam during the irradiation of liquid-filled phantoms. The beam energy- and current-dependent local image contrast observed in water was identified to be predominantly caused by beam-induced buoyant convection and associated flow effects. Besides this flow dependency, the MR signal change was found to be characterized by a change in the relaxation time of water, hinting at a radiochemical contribution, which was hypothesized to lie in oxygen depletion-evoked relaxation time lengthening.
View Article and Find Full Text PDFPurpose: This brief report aims to summarize and discuss the methodologies of eXplainable Artificial Intelligence (XAI) and their potential applications in surgery.
Methods: We briefly introduce explainability methods, including global and individual explanatory features, methods for imaging data and time series, as well as similarity classification, and unraveled rules and laws.
Results: Given the increasing interest in artificial intelligence within the surgical field, we emphasize the critical importance of transparency and interpretability in the outputs of applied models.
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