Results 201 to 210 of about 18,007 (256)

Free‐Breathing 3D Whole Heart and Aorta Cine MRI Without Contrast Agent—Comparison to Clinical Standard

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background The demand for cardiac MRI is increasing with the growing burden of cardiovascular disease. However, conventional protocols require sequential acquisitions for multi‐breath‐hold 2D cine and 3D MR angiography (MRA), which is time‐consuming.
Ruixin Chen, Huangling Lu, Alexandru Cernicanu, Jos Westenberg, Merlijn Sevenster, Jochen Keupp, Jakob Meineke, Hildo J. Lamb   +7 more
wiley   +1 more source

AI‐Powered Gradient Echo Plural Contrast Imaging (AI‐GEPCI)—A Comprehensive Neurological Protocol From a Single MRI Scan

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background MRI is essential for diagnosing and monitoring neurological diseases. Conventional protocols require multiple sequences to obtain complementary contrasts, increasing scan time, cost, and tolerability. Generating multiple contrasts from a single acquisition may streamline workflow while maintaining clinical utility.
Jeramy Lewis, Manu S. Goyal, Gregory F. Wu, Yuyang Hu, Alexander L. Sukstanskii, Satya V. V. N. Kothapalli, Anne H. Cross, Ulugbek Kamilov, Dmitriy A. Yablonskiy   +8 more
wiley   +1 more source

MR Imaging‐Based Biomarkers for Strength Prediction: A Statistical Shape and Architecture Modeling of Quadriceps Muscles

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Muscle mass decline, associated with strength decline, is a hallmark of aging. Yet, strength decline greatly exceeds mass decline. This indicates that aspects of muscle quality and architecture—not reflected by mass—also influence force generating capacity.
Salim Bin Ghouth, Ozkan Cigdem, Valentina Mazzoli   +2 more
wiley   +1 more source

Association Between Deep Gray Matter Iron Deposition Dysregulation and Cognitive Performance in Type 2 Diabetes Mellitus Patients: A Quantitative Susceptibility Mapping Study

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Type 2 diabetes (T2DM) heightens cognitive impairment risk, yet the mechanisms remain unclear. Hyperglycemia‐induced iron dysregulation in deep gray matter (DGM) nuclei may be a crucial mechanism. Purpose To investigate DGM iron deposition in T2DM using Quantitative Susceptibility Mapping (QSM) and determine its association with ...
Kun Wang, Jiahe Wang, Ziyu Diao, Xin Tan, Shijun Qiu, Jie An   +5 more
wiley   +1 more source

Radiation therapists' perceptions of participating in Professional Supervision – a pilot study

Journal of Medical Radiation Sciences, Volume 72, Issue 1, Page 54-62, March 2025.
The study explores the efficacy of Professional Supervision (PS) as an intervention for mitigating burnout among radiation therapists (RTs). Twelve participants engaged in monthly face‐to‐face sessions. Conducted at the Christchurch Radiation Oncology Centre, the pilot study utilised a QUALTRICS questionnaire assessing the Supervisor Working Alliance ...
Gay Dungey, Sarah Thomson, Paula Rodriguez Lopez   +2 more
wiley   +1 more source

Preparing for Tomorrow's Teamwork: Insights From eSports on How Human Expertise Shapes Training Needs for AI‐Integrated Work

Journal of Organizational Behavior, EarlyView.
ABSTRACT As organizations increasingly adopt human‐AI teams (HATs), understanding how to enhance team performance is paramount. A crucially underexplored area for supporting HATs is training, particularly helping human teammates to work with these inorganic counterparts.
Caitlin M. Lancaster, Christopher Flathmann, Jennifer Hsu, Nathan J. McNeese, Thomas A. O'Neill, Eduardo Salas   +5 more
wiley   +1 more source

Usability of a deep learning platform for detecting radiographic bone loss and furcation involvement

Journal of Periodontology, EarlyView.
Abstract Background Assessing radiographic bone condition is important for periodontal diagnosis. The accuracy of radiographic interpretation depends highly on a clinician's experience and knowledge. This study aimed to develop a deep learning‐based online platform that aids clinicians in diagnosing periodontitis based on periapical radiographs and to ...
Chun‐Teh Lee, Tanjida Kabir, Alaa Alsaffar, Jiman Nelson, Sally Sheng, Hsiu‐Wan Meng, Mohammad Qali, Muhammad F. Walji, Xiaoqian Jiang, Shayan Shams   +9 more
wiley   +1 more source

Feasibility and Reproducibility of a Structure‐Guided Deep Learning Model for Automatic Detection of the Standard Sagittal Plane in First‐Trimester Nuchal Translucency Assessment Using 3D Ultrasound

Journal of Ultrasound in Medicine, EarlyView.
Objectives Accurate nuchal translucency (NT) measurement for assessing the risk of fetal genetic abnormalities requires precise acquisition of the mid‐sagittal plane (MSP). However, achieving an appropriate MSP is technically challenging due to anatomical variability and operator dependence inherent in conventional 2‐dimensional (2D) ultrasound.
Hayan Kwon, Hyewon Hur, Hyun Cheol Cho, Yun ji Jung, Suhra Kim, Ja‐Young Kwon   +5 more
wiley   +1 more source

Some of the next articles are maybe not open access.

Related searches:

To Flip or Not to Flip? A Meta-Analysis of the Efficacy of Flipped Learning in Higher Education

Review of Educational Research, 2021
Although flipped classroom pedagogies have been widely touted for their ability to foster diverse 21st-century learning objectives, previous syntheses of flipped learning have focused almost exclusively on outcomes related to academic achievement.
Patricia V Roehling
exaly   +2 more sources