AIMC Topic: London

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Fully-automated global and segmental strain analysis of DENSE cardiovascular magnetic resonance using deep learning for segmentation and phase unwrapping.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Mar 11, 2021
BACKGROUND: Cardiovascular magnetic resonance (CMR) cine displacement encoding with stimulated echoes (DENSE) measures heart motion by encoding myocardial displacement into the signal phase, facilitating high accuracy and reproducibility of global an...
Humans Ventricular Function, Left Case-Control Studies Deep Learning Automation London Magnetic Resonance Imaging, Cine Ventricular Function, Right United States Predictive Value of Tests Heart Diseases Image Interpretation, Computer-Assisted
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Early risk assessment for COVID-19 patients from emergency department data using machine learning.

Scientific reports Feb 18, 2021
Since its emergence in late 2019, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a pandemic with more than 55 million reported cases and 1.3 million estimated deaths worldwide. While epidemiological and clinical character...
Humans Machine Learning Pandemics COVID-19 ROC Curve Emergency Service, Hospital United Kingdom London Adult Male Middle Aged Risk Assessment Respiration, Artificial Disease Progression Hospitals Hospital Mortality Retrospective Studies Risk Factors Female Hospitalization SARS-CoV-2 Aged Aged, 80 and over
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Comparison of deep learning with regression analysis in creating predictive models for SARS-CoV-2 outcomes.

BMC medical informatics and decision making Nov 19, 2020
BACKGROUND: Accurately predicting patient outcomes in Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) could aid patient management and allocation of healthcare resources. There are a variety of methods which can be used to develop progno...
Middle Aged Deep Learning Models, Theoretical Coronavirus Infections Algorithms Female SARS-CoV-2 Male Proportional Hazards Models London Betacoronavirus Pneumonia, Viral Humans Neural Networks, Computer Pandemics COVID-19
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Co-existence or displacement: Do street trials of intelligent vehicles test society?

The British journal of sociology Jan 14, 2020
This paper examines recent street tests of autonomous vehicles (AVs) in the UK and makes the case for an experimental approach in the sociology of intelligent technology. In recent years intelligent vehicle testing has moved from the laboratory to th...
Cities Automobiles London Motor Vehicles Humans Artificial Intelligence Technology
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Clinical-learning versus machine-learning for transdiagnostic prediction of psychosis onset in individuals at-risk.

Translational psychiatry Oct 17, 2019
Predicting the onset of psychosis in individuals at-risk is based on robust prognostic model building methods including a priori clinical knowledge (also termed clinical-learning) to preselect predictors or machine-learning methods to select predicto...
London Prognosis Adolescent Female Registries Young Adult Psychotic Disorders Adult Male Humans Middle Aged Machine Learning Risk Assessment Diagnosis, Computer-Assisted
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Measuring social, environmental and health inequalities using deep learning and street imagery.

Scientific reports Apr 18, 2019
Cities are home to an increasing majority of the world's population. Currently, it is difficult to track social, economic, environmental and health outcomes in cities with high spatial and temporal resolution, needed to evaluate policies regarding ur...
Humans Neural Networks, Computer Deep Learning Cities Satellite Imagery Socioeconomic Factors Social Problems Health Status Disparities Income London Employment Housing Crime
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Detection of Suicidality in Adolescents with Autism Spectrum Disorders: Developing a Natural Language Processing Approach for Use in Electronic Health Records.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
Over 15% of young people with autism spectrum disorders (ASD) will contemplate or attempt suicide during adolescence. Yet, there is limited evidence concerning risk factors for suicidality in childhood ASD. Electronic health records (EHRs) can be use...
Datasets as Topic Humans Information Storage and Retrieval Risk Factors Data Analysis London Autism Spectrum Disorder Adolescent Electronic Health Records Suicidal Ideation Natural Language Processing
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Friend or foe: robots in the NHS.

BMJ (Clinical research ed.) Feb 8, 2017
London Humans Robotics State Medicine Inventions
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Natural language processing to extract symptoms of severe mental illness from clinical text: the Clinical Record Interactive Search Comprehensive Data Extraction (CRIS-CODE) project.

BMJ open Jan 17, 2017
OBJECTIVES: We sought to use natural language processing to develop a suite of language models to capture key symptoms of severe mental illness (SMI) from clinical text, to facilitate the secondary use of mental healthcare data in research.
Medical Informatics London Medical Informatics Applications Humans Natural Language Processing Mental Disorders Registries Databases, Factual Data Collection Electronic Health Records Information Storage and Retrieval Chronic Disease
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Evaluating clustering methods within the Artificial Ecosystem Algorithm and their application to bike redistribution in London.

Bio Systems May 10, 2016
This paper proposes and evaluates a solution to the truck redistribution problem prominent in London's Santander Cycle scheme. Due to the complexity of this NP-hard combinatorial optimisation problem, no efficient optimisation techniques are known to...
Cluster Analysis Reproducibility of Results London Humans Ecosystem Bicycling Artificial Intelligence Time Factors Transportation Algorithms Environment Design
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