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Ultra high density imaging arrays in diffuse optical tomography for human brain mapping improve image quality and decoding performance.
Sci Rep
January 2025
Mallinckrodt Institute of Radiology, Washington University School of Medicine, 4515 McKinley Ave., St. Louis, MO, 63110, USA.
Functional magnetic resonance imaging (fMRI) has dramatically advanced non-invasive human brain mapping and decoding. Functional near-infrared spectroscopy (fNIRS) and high-density diffuse optical tomography (HD-DOT) non-invasively measure blood oxygen fluctuations related to brain activity, like fMRI, at the brain surface, using more-lightweight equipment that circumvents ergonomic and logistical limitations of fMRI. HD-DOT grids have smaller inter-optode spacing (~ 13 mm) than sparse fNIRS (~ 30 mm) and therefore provide higher image quality, with spatial resolution ~ 1/2 that of fMRI, when using the several source-detector distances (13-40 mm) afforded by the HD-DOT grid.
View Article and Find Full Text PDF[Expert consensus on visualized tele-round and quality control management based on the improvement of clinical practice ability].
Zhonghua Nei Ke Za Zhi
February 2025
Department of Critical Care Medicine, the First Hospital of Tsinghua University, Beijing100016, China.
Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor's professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China.
View Article and Find Full Text PDFAssessment of deep learning technique for fully automated mandibular segmentation.
Am J Orthod Dentofacial Orthop
February 2025
Department of Orthodontics, Faculty of Dentistry, Çanakkale Onsekiz Mart University, Çanakkale, Turkey.
Introduction: This study aimed to assess the precision of an open-source, clinician-trained, and user-friendly convolutional neural network-based model for automatically segmenting the mandible.
Methods: A total of 55 cone-beam computed tomography scans that met the inclusion criteria were collected and divided into test and training groups. The MONAI (Medical Open Network for Artificial Intelligence) Label active learning tool extension was used to train the automatic model.
Association between body mass index, obesity, and vulvar cancer recurrence.
Int J Gynaecol Obstet
January 2025
Division of Gynecologic Oncology, Jewish General Hospital, McGill University, Montreal, Quebec, Canada.
Objective: The objective of this paper is to study the association between obesity and tumor recurrence in patients with vulvar cancer.
Methods: This is a retrospective study including vulvar cancer patients from 2003 to 2022. Our primary outcome was progression-free survival (PFS) stratified by status of obesity, defined as body mass index (BMI) >30.
Cold Plasma Activity Against Biofilm Formation of Prosthetic Joint Infection Pathogens.
Pathogens
December 2024
Department of Orthopaedics and Traumatology, Medical University of Innsbruck, Anichstraße 35, 6020 Innsbruck, Austria.
Periprosthetic joint infections occur in 1-2% of all patients undergoing prosthetic joint surgeries. Although strong efforts have been made to reduce infection rates, conventional therapies like one- or two-stage revisions have failed to lower the infection rates. Cold atmospheric plasma (CAP) has shown promising results in reducing bacterial loads on surfaces.
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