Recurrent Neural Network on PICTURE Model [PDF]
Intensive Care Units (ICUs) provide critical care and life support for most severely ill and injured patients in the hospital. With the need for ICUs growing rapidly and unprecedentedly, especially during COVID-19, accurately identifying the most critical patients helps hospitals to allocate resources more efficiently and save more lives.
arxiv
Analysis of 150 patients with acute myocardial infarction admitted to an intensive care and study unit. [PDF]
Michael Thomas+2 more
openalex +1 more source
Obstetric near-miss cases among women admitted to intensive care units in Italy [PDF]
Objective. Maternal near-miss defines a narrow category of morbidity encompassing potentially life-threatening episodes. The purpose of this study was to detect near-miss instances among women admitted to intensive care units or coronary units, analyze ...
Basevi, V+19 more
core +1 more source
A Python package for fast GPU‐based proton pencil beam dose calculation
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+4 more
wiley +1 more source
ICU Disparnumerophobia and Triskaidekaphobia: The 'Irrational Care Unit'? [PDF]
Whilst evidence-based medicine is the cornerstone of modern practice, it is likely that clinicians are influenced by cultural biases. This work set out to look for evidence of number preference in invasive mechanical ventilatory therapy as a concrete example of subconscious treatment bias. A retrospective observational intensive care electronic medical
arxiv
Using deep learning generated CBCT contours for online dose assessment of prostate SABR treatments
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+8 more
wiley +1 more source
An statistical analysis of COVID-19 intensive care unit bed occupancy data [PDF]
The COVID-19 pandemic has had far-reaching consequences, highlighting the urgency for explanatory and predictive tools to track infection rates and burden of care over time and space. However, the scarcity and inhomogeneity of data is a challenge.
arxiv
DeepClean -- self-supervised artefact rejection for intensive care waveform data using deep generative learning [PDF]
Waveform physiological data is important in the treatment of critically ill patients in the intensive care unit. Such recordings are susceptible to artefacts, which must be removed before the data can be re-used for alerting or reprocessed for other clinical or research purposes.
arxiv
Intensive Care Unit at University Hospital, Copenhagen [PDF]
Joshua E. Rosen, O Secher
openalex +1 more source