AIMC Topic: Sweden

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Risk of a second wave of Covid-19 infections: using artificial intelligence to investigate stringency of physical distancing policies in North America.

International orthopaedics Jun 5, 2020
PURPOSE: Accurately forecasting the occurrence of future covid-19-related cases across relaxed (Sweden) and stringent (USA and Canada) policy contexts has a renewed sense of urgency. Moreover, there is a need for a multidimensional county-level appro...
SARS-CoV-2 Sweden Risk Factors Canada Humans Artificial Intelligence Pandemics COVID-19 Physical Examination Physical Distancing Betacoronavirus Pneumonia, Viral United States Bayes Theorem Coronavirus Infections Telemedicine
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Olle Höök Lectureship 2019: The changing world of stroke rehabilitation.

Journal of rehabilitation medicine Apr 29, 2020
The paper presents a summary of the Olle Höök lecture, which was presented at the Baltic North-Sea Forum in Oslo, Sweden, in October 2019. The paper aims to provide a worldwide picture of stroke, developments in this field, and the evolution of strok...
Humans Sweden Robotics Stroke Stroke Rehabilitation
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Predicting mental health problems in adolescence using machine learning techniques.

PloS one Apr 6, 2020
BACKGROUND: Predicting which children will go on to develop mental health symptoms as adolescents is critical for early intervention and preventing future, severe negative outcomes. Although many aspects of a child's life, personality, and symptoms h...
Mental Disorders Male Female Adolescent Predictive Value of Tests Sweden Humans Child Mental Health Models, Psychological Support Vector Machine Twins
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Machine-Learning prediction of comorbid substance use disorders in ADHD youth using Swedish registry data.

Journal of child psychology and psychiatry, and allied disciplines Apr 1, 2020
BACKGROUND: Children with attention-deficit/hyperactivity disorder (ADHD) have a high risk for substance use disorders (SUDs). Early identification of at-risk youth would help allocate scarce resources for prevention programs.
Cross-Sectional Studies Humans Comorbidity Machine Learning Adolescent Sweden Child, Preschool Risk Factors Child Substance-Related Disorders Registries Attention Deficit Disorder with Hyperactivity
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Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms.

JAMA network open Mar 2, 2020
IMPORTANCE: Mammography screening currently relies on subjective human interpretation. Artificial intelligence (AI) advances could be used to increase mammography screening accuracy by reducing missed cancers and false positives.
Adult Sensitivity and Specificity Breast Neoplasms Middle Aged Algorithms Female Sweden Aged Radiology Radiologists Image Interpretation, Computer-Assisted Deep Learning United States Early Detection of Cancer Mammography Humans Artificial Intelligence
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Artificial intelligence for diagnosis and grading of prostate cancer in biopsies: a population-based, diagnostic study.

The Lancet. Oncology Jan 8, 2020
BACKGROUND: An increasing volume of prostate biopsies and a worldwide shortage of urological pathologists puts a strain on pathology departments. Additionally, the high intra-observer and inter-observer variability in grading can result in overtreatm...
Diagnosis, Computer-Assisted Predictive Value of Tests Prostatic Neoplasms Neoplasm Grading Biopsy Image Interpretation, Computer-Assisted Humans Sweden Aged Artificial Intelligence Male Prospective Studies Middle Aged Reproducibility of Results
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A modern approach to identifying and characterizing child asthma and wheeze phenotypes based on clinical data.

PloS one Dec 30, 2019
'Asthma' is a complex disease that encapsulates a heterogeneous group of phenotypes and endotypes. Research to understand these phenotypes has previously been based on longitudinal wheeze patterns or hypothesis-driven observational criteria. The aim ...
Leukocyte Count Respiratory Sounds Twins Diseases in Twins Asthma Child Biomarkers Male Regression Analysis Female Severity of Illness Index Humans Eosinophils Sweden Machine Learning Adolescent Medical History Taking Risk Factors Data Analysis
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Recent advances in Swedish and Spanish medical entity recognition in clinical texts using deep neural approaches.

BMC medical informatics and decision making Dec 23, 2019
BACKGROUND: Text mining and natural language processing of clinical text, such as notes from electronic health records, requires specific consideration of the specialized characteristics of these texts. Deep learning methods could potentially mitigat...
Humans Neural Networks, Computer Electronic Health Records Language Sweden Deep Learning Natural Language Processing Data Mining
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A validation of machine learning-based risk scores in the prehospital setting.

PloS one Dec 13, 2019
BACKGROUND: The triage of patients in prehospital care is a difficult task, and improved risk assessment tools are needed both at the dispatch center and on the ambulance to differentiate between low- and high-risk patients. This study validates a ma...
Emergency Service, Hospital Critical Care Needs Assessment Ambulances Humans Machine Learning Prospective Studies Female Middle Aged Sweden Risk Assessment ROC Curve Hospitalization Triage Aged Male
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Re: Functional and Oncologic Outcomes between Open and Robotic Radical Prostatectomy at 24-Month Follow-up in the Swedish LAPPRO Trial.

The Journal of urology Sep 12, 2019
Robotics Robotic Surgical Procedures Prostatectomy Humans Sweden Male Follow-Up Studies
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