Results 181 to 190 of about 2,158,632 (410)

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

Systemic Inflammatory Response Index Is a More Promising Prognostic Index Than Systemic Immune Inflammation Index in Critically Ill Heart Failure Patients: A Retrospective Cohort Analysis of the MIMIC-IV Database

Vascular Health and Risk Management
Xueqing Wang, Sheng Zhang, Xinxin Wang, Xiaojun Shen, Lei Huang Department of Intensive Care Unit (ICU), Peking University Shenzhen Hospital, Shenzhen, Guangdong, 518036, People’s Republic of ChinaCorrespondence: Xueqing Wang, Department of Intensive ...
Wang X, Zhang S, Wang X, Shen X, Huang L
doaj  

Diabetic Ketoacidosis (DKA) Insulin Infusion Protocol Update Using Evidence-Based Practice: A Quality Improvement Project [PDF]

, 2018
Diabetic Ketoacidosis is a life-threatening side effect to Diabetes Mellitus. Standards of treatment and recommendations are made by the American Diabetes Association.
Lacey, Susan K
core   +1 more source

Humanizing the intensive care unit [PDF]

Critical Care, 2019
Sarah J. Beesley, Sarah J. Beesley, Sarah J. Beesley, Ramona O. Hopkins, Ramona O. Hopkins, Ramona O. Hopkins, Eileen Rubin, Samuel M. Brown, Negin Hajizadeh, Amanda Grow, Michael E. Wilson   +10 more
openaire   +3 more sources

A Python package for fast GPU‐based proton pencil beam dose calculation

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Open‐source GPU‐based Monte Carlo (MC) proton dose calculation algorithms provide high speed and unparalleled accuracy but can be complex to integrate with new applications and remain slower than GPU‐based pencil beam (PB) methods, which sacrifice some physical accuracy for sub‐second plan calculation.
Mahasweta Bhattacharya, Calin Reamy, Heng Li, Junghoon Lee, William T. Hrinivich   +4 more
wiley   +1 more source

Early prediction of circulatory failure in the intensive care unit using machine learning

Nature Network Boston, 2020
Stephanie L. Hyland, M. Faltys, Matthias Hüser, Xinrui Lyu, Thomas Gumbsch, Cristóbal Esteban, Christian Bock, Max Horn, Michael Moor, Bastian Rieck, M. Zimmermann, D. Bodenham, Karsten M. Borgwardt, G. Rätsch, T. Merz   +14 more
semanticscholar   +1 more source

Using deep learning generated CBCT contours for online dose assessment of prostate SABR treatments

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Prostate Stereotactic Ablative Body Radiotherapy (SABR) is an ultra‐hypofractionated treatment where small setup errors can lead to higher doses to organs at risk (OARs). Although bowel and bladder preparation protocols reduce inter‐fraction variability, inconsistent patient adherence still results in OAR variability.
Conor Sinclair Smith, Isabelle Gagne, Karl Otto, Carter Kolbeck, Joshua Giambattista, Abraham Alexander, Sonja Murchison, Andrew Pritchard, Erika Chin   +8 more
wiley   +1 more source

The Establishment of a Mobile Intensive Care Unit [PDF]

, 1976
Owen James, J. H. B. Coombs
openalex   +1 more source

Clinical Practice Guidelines for the Management of Pain, Agitation, and Delirium in Adult Patients in the Intensive Care Unit

Critical Care Medicine, 2013
J. Barr, Gilles L. Fraser, K. Puntillo, E. Ely, C. Gélinas, Joseph F. Dasta, Judy E. Davidson, John W. Devlin, John P. Kress, Aaron M. Joffe, D. Coursin, Daniel L. Herr, A. Tung, Bryce R. H. Robinson, Dorrie K. Fontaine, Michael A. Ramsay, R. Riker, C. Sessler, B. Pun, Y. Skrobik, Roman Jaeschke   +20 more
semanticscholar   +1 more source

Unsupervised non‐small cell lung cancer tumor segmentation using cycled generative adversarial network with similarity‐based discriminator

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background Tumor segmentation is crucial for lung disease diagnosis and treatment. Most existing deep learning‐based automatic segmentation methods rely on manually annotated data for network training. Purpose This study aims to develop an unsupervised tumor segmentation network smic‐GAN by using a similarity‐driven generative adversarial ...
Chengyijue Fang, Xiaoyang Li, Yidong Yang   +2 more
wiley   +1 more source