Results 61 to 70 of about 189,568 (218)

Beyond Visual Scoring: Computational Computed Tomography Analysis for High‐Resolution Computed Tomography–Based Quantification of Interstitial Lung Disease in Inflammatory Rheumatic Disease

Arthritis Care &Research, EarlyView.
Interstitial lung disease (ILD) is a significant cause of morbidity and mortality in patients with inflammatory rheumatic disorders (IRDs). High‐resolution computed tomography (HRCT) is widely considered the gold standard for the noninvasive assessment of ILD; however, its interpretation is constrained by substantial interobserver variability and the ...
Alexander Pfeil, Tobias Hoffmann, Ulf Teichgräber, Diane Renz, Denise Beckmann, Gunter Wolf, Nicole Schadewaldt, Bianca Lassen‐Schmidt   +7 more
wiley   +1 more source

Operando Visualization of Cathode Water Management in Proton Exchange Membrane Water Electrolyzers Using Synchrotron X-Ray Radiography. [PDF]

Adv Sci (Weinh)
The cathode of proton exchange membrane water electrolyzers remains a poorly understood region despite its importance for hydrogen purity and operational safety. Operando synchrotron X‐ray radiography directly visualizes liquid water behavior and uncovers a transition from continuous to pulsating transport, providing new insight into multiphase ...
Yoshimune W, Hayakawa T, Miyase Y.
europepmc   +2 more sources

Microstructural Evolution and Vacancy Defect Formation in Mn–Mo–Ni RPV Steel Under Low Cycle Fatigue: Insights From EBSD and PALS

Advanced Engineering Materials, EarlyView.
Low‐cycle fatigue damage in Mn–Mo–Ni reactor pressure vessel steel is examined using a combined electron backscatter diffraction and positron annihilation lifetime spectroscopy approach. The study correlates texture evolution, dislocation substructure development, and vacancy‐type defect formation across uniform, necked, and fracture regions, providing
Apu Sarkar, Dhanadeep Dutta, G. Bharat Reddy   +2 more
wiley   +1 more source

Personalized Learning in Health Professions Education: A Comprehensive Review

Advances in Medical Education and Practice
Suliman Salih,1,2 Ajnas Alkatheeri,1 Ninan Cherry Jacob,1 Salwa B El-Sobkey,3 Emne Hammoud,3 Wuni Abdul Razak,1 Noon Kamil,4 Monika Sachdeva,4 Mohamed Hasaneen,1 Balkhis Banu Shaik,3 Mohd Nazmi Nordin11Radiography and Medical Imaging Department, Fatima ...
Salih S, Alkatheeri A, Jacob NC, El-Sobkey SB, Hammoud E, Abdul Razak W, Kamil N, Sachdeva M, Hasaneen M, Shaik BB, Nordin MN   +10 more
doaj  

THE ASSESSMENT OF PATIENTS' PERCEPTION AND SATISFACTION OF RADIOLOGY WAITING TIME IN UNIVERSITY OF MAIDUGURI TEACHING HOSPITAL [PDF]

Kanem Journal of Medical Sciences, 2014
The patient is the most important person in the entire hospital setup and it is the duty of the health care personnel to give special attention to the management of patient to enhance effective service delivery.
Nwobi IC, Luntsi G, Ahmadu MS, Nkubli FB, Kawu HD, Dauda F, Moi AS, Abubakar GM, Tahir MB   +8 more
doaj  

Reality shock in radiography: fact or fiction? Findings from a phenomenological study in Durban, South Africa

BMC Psychology, 2019
Background Globally, the phenomenon of reality shock is a major contributor to the attrition of healthcare professionals. Reality shock negatively impacts on initial workplace transition, productivity, and ultimately, employee retention, hence it is ...
Tawanda Gilbert Alfred Chipere, Pauline Busisiwe Nkosi   +1 more
doaj   +1 more source

Wearable Smart Patches on Sustainable Chitosan With Reversible Microbial Growth‐Inhibitory Properties

Advanced Functional Materials, EarlyView.
ABSTRACT Chitosan, a polysaccharide upcycled from biowaste, has long promised sustainable, biocompatible, and antimicrobial films and devices, an appeal reinforced by its recent regulatory recognition, with several chitosan‐based antibacterial dressings gaining clearance through the Food and Drug Administration's 510(k) pathway.
Jacopo Nicoletti, Kubra Kocak, Andrea Michel, Enrico Cavarzerani, Ali Raza, Petr Rohzin, Nouha Loudhaief, Saimir Frroku, Nicolò Baldovin, Hazrat Bilal, Alvise Perosa, Maurizio Selva, Flavio Rizzolio, Luca Sbuelz, Sabrina Tamburini, Domenico De Fazio, Giovanni Antonio Salvatore   +16 more
wiley   +1 more source

A deep learning approach to predict temporal changes of subdural hemorrhage on computed tomography

Scientific Reports
Subdural hemorrhage (SDH) is a critical condition requiring prompt assessment of its progression using computed tomography (CT). This study aimed to develop a deep-learning model to predict temporal changes in SDH by leveraging Hounsfield Units (HU) to ...
M. S. F. Fasla, D. M. T. K. Dissanayake, D. M. I. Dhananjaya, Mohan L. Jayatilake, P. B. Hewavithana   +4 more
doaj   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source

Carotid atherosclerotic plaques standardised uptake values: software challenges and reproducibility

EJNMMI Research, 2017
Background Positron emission tomography–computed tomography (PET-CT) carotid standardised uptake values (SUV) of 18F-fluorodeoxyglucose (18FDG) have been proposed as an inflammatory biomarker for determining cerebrovascular diseases such as stroke ...
Nicola Giannotti, Martin J. O’Connell, Shane J. Foley, Peter J. Kelly, Jonathan P. McNulty   +4 more
doaj   +1 more source