Machine learning prediction of unexpected readmission or death after discharge from intensive care: A retrospective cohort study.

Background: Intensive care units (ICUs) harbor the sickest patients with the utmost needs of medical care. Discharge from ICU needs to consider the reason for admission and stability after ICU care. Organ dysfunction or instability after ICU discharge constitute potentially life-threatening situations for patients.

Machine learning based outcome prediction of microsurgically treated unruptured intracranial aneurysms.

Machine learning (ML) has revolutionized data processing in recent years. This study presents the results of the first prediction models based on a long-term monocentric data registry of patients with microsurgically treated unruptured intracranial aneurysms (UIAs) using a temporal train-test split. Temporal train-test splits allow to simulate prospective validation, and therefore provide more accurate estimations of a model's predictive quality when applied to future patients.

Using emergency department triage for machine learning-based admission and mortality prediction.

Aims: Patient admission is a decision relying on sparsely available data. This study aims to provide prediction models for discharge versus admission for ward observation or intensive care, and 30 day-mortality for patients triaged with the Manchester Triage System.

Methods: This is a single-centre, observational, retrospective cohort study from data within ten minutes of patient presentation at the interdisciplinary emergency department of the Kepler University Hospital, Linz, Austria.

Workflow assessment of an augmented reality application for planning of perforator flaps in plastic reconstructive surgery: Game or game changer?

Objective: In contrast to the rising amount of financial investments for research and development in medical technology worldwide is the lack of usability and clinical readiness of the produced systems. We evaluated an augmented reality (AR) setup under development for preoperative perforator vessel mapping for elective autologous breast reconstruction.

Methods: In this grant-supported research pilot, we used magnetic resonance angiography data (MR-A) of the trunk to superimpose the scans on the corresponding patients with hands-free AR goggles to identify regions-of-interest for surgical planning.

Lifting Hospital Electronic Health Record Data Treasures: Challenges and Opportunities.

Electronic health records (EHRs) have been successfully used in data science and machine learning projects. However, most of these data are collected for clinical use rather than for retrospective analysis. This means that researchers typically face many different issues when attempting to access and prepare the data for secondary use.

Epidemiology of burn injury and the ideal dressing in global burn care - Regional differences explored.

Purpose: Burn injuries are to this day a major cause of morbidity and mortality, especially within low- and middle-income countries. Understanding the etiology of burn injury and epidemiologic- and hospital-specific factors associated with burns is vital for allotting resources for prevention and treatment. Therefore, the purpose of this study was to develop a profile of epidemiological differences in burn care and the ideal burn dressing among the different continents based on a global online survey.

Global burn care and the ideal burn dressing reloaded - A survey of global experts.

Purpose: Burn care is a highly relevant medical specialty in every part of the world. Different infrastructure, healthcare systems and access to medical supplies lead to different needs, treatment strategies and outcomes. A fundamental tool in a burn care provider's armamentarium is the use of different dressings.

Technical and Medical Aspects of Burn Size Assessment and Documentation.

In burn medicine, the percentage of the burned body surface area (TBSA-B) to the total body surface area (TBSA) is a crucial parameter to ensure adequate treatment and therapy. Inaccurate estimations of the burn extent can lead to wrong medical decisions resulting in considerable consequences for patients. These include, for instance, over-resuscitation, complications due to fluid aggregation from burn edema, or non-optimal distribution of patients.

BurnCase 3D software validation study: Burn size measurement accuracy and inter-rater reliability.

Objective: The aim of this study was to compare the accuracy of burn size estimation using the computer-assisted software BurnCase 3D (RISC Software GmbH, Hagenberg, Austria) with that using a 2D scan, considered to be the actual burn size.

Methods: Thirty artificial burn areas were pre planned and prepared on three mannequins (one child, one female, and one male). Five trained physicians (raters) were asked to assess the size of all wound areas using BurnCase 3D software.

Smartphone applications in burns.

Objective: Since the introduction of applications (apps) for smartphones, the popularity of medical apps has been rising. The aim of this review was to demonstrate the current availability of apps related to burns on Google's Android and Apple's iOS store as well as to include a review of their developers, features, and costs.

Methods: A systematic online review of Google Play Store and Apple's App Store was performed by using the following search terms: "burn," "burns," "thermal," and the German word "Verbrennung.

Intuitive presentation of clinical forensic data using anonymous and person-specific 3D reference manikins.

The increasing use of CT/MR devices in forensic analysis motivates the need to present forensic findings from different sources in an intuitive reference visualization, with the aim of combining 3D volumetric images along with digital photographs of external findings into a 3D computer graphics model. This model allows a comprehensive presentation of forensic findings in court and enables comparative evaluation studies correlating data sources. The goal of this work was to investigate different methods to generate anonymous and patient-specific 3D models which may be used as reference visualizations.

The potential impact of wrong TBSA estimations on fluid resuscitation in patients suffering from burns: things to keep in mind.

Introduction: Accurate estimation of burn size is of critical importance, as it is incorporated in every resuscitation formula. The aim of this study was to investigate total burn surface area (TBSA) accuracy among burn specialists, evaluate the potential impact of incorrect evaluation on variations of resultant fluid resuscitation volumes and to discuss future possibilities to estimate or measure TBSA more precisely.

Methods: In a poll during two international burn meetings in 2010 and 2011 demonstrating three pictures of patients with different burn wound patterns and sizes we asked participants to estimate the total surface area burned in percentages.

The pain and stress of wound treatment in patients with burns: an international burn specialist perspective.

Unlabelled: This study aimed to explore the views of burn specialists on the importance of reducing stress and pain during wound treatment.

Methods: Burns specialists were invited to complete an online survey, consisting of 10 questions about pain and stress in their patients.

Results: There were 141 respondents from 39 countries.

The properties of an "ideal" burn wound dressing--what do we need in daily clinical practice? Results of a worldwide online survey among burn care specialists.

Objective: Using Internet polling to classify characteristics of a burn wound dressing considered as "ideal" by burn care specialists for small sized burns (<20% TBSA).

Methods: Open, voluntary Internet-based cross-sectional survey with twenty non-compulsory questions and collection of information related to profession, staff grade, work location.

Results: In total one-hundred and twenty-one participants from 39 countries were included (response rate: 121/1000=12.