Results 101 to 110 of about 2,068,929 (319)

Brain magnetic resonance imaging predictors in anti‐N‐methyl‐D‐aspartate receptor encephalitis

Annals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 1974-1984, December 2022., 2022
Abstract Objective Brain magnetic resonance imaging (MRI) findings in anti‐N‐methyl‐D‐aspartate receptor (NMDAR) encephalitis are nonspecific and rarely have obvious associations with clinical characteristics and outcomes. This study aimed to comprehensively describe the MRI features of patients with NMDAR encephalitis, examine their associations with ...
Ying‐Ying Zhao, Bing Han, Cui‐Hong Qin, Xue‐Xiu Shi, Wen‐Jing Yun, Meng Wang, Bo Yuan, Tong‐Wen Sun, Hai‐Xu Wang   +8 more
wiley   +1 more source

Reconstructing Experiences through Sketching [PDF]

arXiv, 2009
We present iScale, a survey tool for the retrospective elicitation of longitudinal user experience data. iScale employs sketching in imposing a process in the reconstruction of one's experiences with the aim to minimize retrospection bias. Two versions, the Constructive and the Value-Account iScale, were motivated by two distinct theories on how people
arxiv  

Recognizing early MRI signs (or their absence) is crucial in diagnosing metachromatic leukodystrophy

Annals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 1999-2009, December 2022., 2022
Abstract Objectives Metachromatic leukodystrophy (MLD) has characteristic white matter (WM) changes on brain MRI, which often trigger biochemical and genetic confirmation of the diagnosis. In early or pre‐symptomatic disease stages, these typical MRI changes might be absent, hampering early diagnosis.
Daphne H. Schoenmakers, Shanice Beerepoot, Ingeborg Krägeloh‐Mann, Saskia Elgün, Benjamin Bender, Marjo S. van der Knaap, Nicole I. Wolf, Samuel Groeschel   +7 more
wiley   +1 more source

Prediction of 10-year Survival in ITI Implant

Frontiers in Dentistry, 2008
Objective: Whilst many questions and doubts still remain, today the use of dental im-plants has gained an increasing popularity amongst patients as well as dentists.
AR. Rokn, A. Miremadi, A. Monzavi, H. Behnaz, R. Afzalifar, MJ. Kharrazi Fard   +5 more
doaj  

A reply to analysis of static parameters in retrospective studies: limitations and interpretation. [PDF]

Crit Care, 2023
McGuigan PJ, Giallongo E, Nichol AD, Skrifvars MB, McAuley DF.   +4 more
europepmc   +1 more source

Exploring Retrospective Meeting Practices and the Use of Data in Agile Teams [PDF]

arXiv
Retrospectives are vital for software development teams to continuously enhance their processes and teamwork. Despite the increasing availability of objective data generated throughout the project and software development processes, many teams do not fully utilize this information in retrospective meetings.
arxiv  

Philosophy of Inferences from Retrospective Studies [PDF]

, 1953
Harold F. Dorn
openalex   +1 more source

Evaluation of the glottic surface dose in three‐dimensional conformal radiotherapy for early‐stage glottic cancer using a treatment planning system

Journal of Applied Clinical Medical Physics, EarlyView.
ABSTRACT Background In radiotherapy for early‐stage glottic cancer, evaluating the target surface dose at the glottic air–tissue boundary is crucial, as buildup effect can cause underdosing. The accuracy of dose evaluation in the surrounding tissues is affected by both the dose calculation algorithms and the accuracy of the Hounsfield unit values in ...
Yuki Saito, Takahiro Kanehira, Takahito Yuki, Miyako Myojin   +3 more
wiley   +1 more source

A Retrospective Study of Disease in Elasmobranchs [PDF]

Veterinary Pathology, 2013
This report reviews diseases of 1546 elasmobranchs representing at least 60 species submitted to Northwest ZooPath from 1994 to 2010. Cownose rays ( Rhinoptera bonasus) (78), southern rays ( Dasyatis americana) (75), dusky smooth-hounds ( Mustelus canis) (74), bonnethead sharks ( Sphyrna tiburo) (66), and bamboo sharks (Hemiscylliidae) (56) were the ...
openaire   +3 more sources

Enhanced dose prediction for head and neck cancer artificial intelligence‐driven radiotherapy based on transfer learning with limited training data

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Training deep learning dose prediction models for the latest cutting‐edge radiotherapy techniques, such as AI‐based nodal radiotherapy (AINRT) and Daily Adaptive AI‐based nodal radiotherapy (DA‐AINRT), is challenging due to limited data.
Hui‐Ju Wang, Austen Maniscalco, David Sher, Mu‐Han Lin, Steve Jiang, Dan Nguyen   +5 more
wiley   +1 more source