Results 161 to 170 of about 1,631,497 (414)

Fast, automated optimization of virtual monoenergetic images with the dual‐energy image synthesizer for cone‐beam CT

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background Dual‐energy cone‐beam CT (DE‐CBCT) has become subject of recent interest due to the ability to produce virtual monoenergetic images (VMIs) with improved soft‐tissue contrast and reduced nonuniformity artifacts. However, efficient production and optimization of VMIs remains an under‐explored part of DE‐CBCT's application.
Andrew Keeler, Jason Luce, Mathias Lehmann, John C. Roeske, Hyejoo Kang   +4 more
wiley   +1 more source

Advanced Heart Failure: Therapeutic Options and Challenges in the Evolving Field of Left Ventricular Assist Devices

Journal of Cardiovascular Development and Disease
Heart Failure is a chronic and progressively deteriorating syndrome that has reached epidemic proportions worldwide. Improved outcomes have been achieved with novel drugs and devices.
Michael Antonopoulos, Michael J. Bonios, Stavros Dimopoulos, Evangelos Leontiadis, Aggeliki Gouziouta, Nektarios Kogerakis, Antigone Koliopoulou, Dimitris Elaiopoulos, Ioannis Vlahodimitris, Maria Chronaki, Themistocles Chamogeorgakis, Stavros G. Drakos, Stamatis Adamopoulos   +12 more
doaj   +1 more source

Compassionate care during withdrawal of treatment:A secondary analysis of ICU nurses' experiences [PDF]

, 2017
Background: Withdrawal of treatment is a common practice in intensive care units when treatment is considered futile. Compassion is an important aspect of care; however, it has not been explored much within the context of treatment withdrawal in ...
Efstathiou, Nikolas, Ives, Jonathan
core   +2 more sources

Surface dose analysis and dosimetric comparison of Halcyon versus Truebeam in breast cancer radiotherapy: An OSL dosimetry study

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Breast cancer is a neoplastic disease with high prevalence among women. Radiotherapy is one of the principal treatment modalities for this disease, but it poses significant challenges. This study aimed to compare and evaluate the technical and dosimetric performance of conventional C‐arm linac systems and a new design, Halcyon, in the ...
Mustafa Çağlar, Kudret Akçay, Esra Serin, Dursun Eşitmez, Mehmet Sıddık Cebe, Navid Kheradmand, Ömer Yazıcı, Dilek Ünal, Evrim Metcalfe   +8 more
wiley   +1 more source

Physical restraints practice in adult intensive care units in Egypt.

Nursing and Health Sciences, 2013
Physical restraints are commonly used in intensive care units to reduce the risk of injury and ensure patient safety. However, there is still controversy regarding the practice of physical restraints in such units.
N. Kandeel, Amal Kadry Attia
semanticscholar   +1 more source

A feasibility study of signed consent for the collection of patient identifiable information for a national paediatric clinical audit database [PDF]

, 2005
Objectives: To investigate the feasibility of obtaining signed consent for submission of patient identifiable data to a national clinical audit database and to identify factors influencing the consent process and its success.
Chaudhry, B., Darowski, M., Davey, N., Draper, E.S., Jones, S., McKinney, P.A., Parry, G., Parslow, R., Stack, C.   +8 more
core   +2 more sources

Open‐source deep‐learning models for segmentation of normal structures for prostatic and gynecological high‐dose‐rate brachytherapy: Comparison of architectures

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background The use of deep learning‐based auto‐contouring algorithms in various treatment planning services is increasingly common. There is a notable deficit of commercially or publicly available models trained on large or diverse datasets containing high‐dose‐rate (HDR) brachytherapy treatment scans, leading to poor performance on images ...
Andrew J. Krupien, Yasin Abdulkadir, Dishane C. Luximon, John Charters, Huiming Dong, Jonathan Pham, Dylan O'Connell, Jack Neylon, James M. Lamb   +8 more
wiley   +1 more source

HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units [PDF]

arXiv, 2020
Deep learning models have achieved expert-level performance in healthcare with an exclusive focus on training accurate models. However, in many clinical environments such as intensive care unit (ICU), real-time model serving is equally if not more important than accuracy, because in ICU patient care is simultaneously more urgent and more expensive ...
arxiv  

Predictive validity of the Braden scale for patients in intensive care units.

American Journal of Critical Care, 2013
BACKGROUND Patients in intensive care units are at higher risk for development of pressure ulcers than other patients. In order to prevent pressure ulcers from developing in intensive care patients, risk for development of pressure ulcers must be ...
S. Hyun, B. Vermillion, Cheryl Newton, Monica Fall, Xiaobai Li, Pacharmon Kaewprag, S. Moffatt-Bruce, E. Lenz   +7 more
semanticscholar   +1 more source

Novel CT radiomics models for the postoperative prediction of early recurrence of resectable pancreatic adenocarcinoma: A single‐center retrospective study in China

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose To assess the predictive capability of CT radiomics features for early recurrence (ER) of pancreatic ductal adenocarcinoma (PDAC). Methods Postoperative PDAC patients were retrospectively selected, all of whom had undergone preoperative CT imaging and surgery. Both patients with resectable or borderline‐resectable pancreatic cancer met
Xinze Du, Yongsu Ma, Kexin Wang, Xiejian Zhong, Jianxin Wang, Xiaodong Tian, Xiaoying Wang, Yinmo Yang   +7 more
wiley   +1 more source