AIMC Topic: Germany

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Helping the Blind to Get through COVID-19: Social Distancing Assistant Using Real-Time Semantic Segmentation on RGB-D Video.

Sensors (Basel, Switzerland) Sep 12, 2020
The current COVID-19 pandemic is having a major impact on our daily lives. Social distancing is one of the measures that has been implemented with the aim of slowing the spread of the disease, but it is difficult for blind people to comply with this....
Computer Systems Image Processing, Computer-Assisted Robotics Equipment Design Coronavirus Infections Female SARS-CoV-2 Adult Male Wearable Electronic Devices Persons with Visual Disabilities Sensory Aids Humans Color Vision Betacoronavirus Artificial Intelligence Pneumonia, Viral Pandemics Smart Glasses COVID-19 Acoustics Algorithms Semantics Germany Blindness Physical Distancing
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Machine learning-based risk prediction of intrahospital clinical outcomes in patients undergoing TAVI.

Clinical research in cardiology : official journal of the German Cardiac Society Jun 24, 2020
BACKGROUND: Currently, patient selection in TAVI is based upon a multidisciplinary heart team assessment of patient comorbidities and surgical risk stratification. In an era of increasing need for precision medicine and quickly expanding TAVI indicat...
Machine Learning Retrospective Studies Female Risk Factors Aged, 80 and over Humans Hospital Mortality Aortic Valve Inpatients Cause of Death Morbidity Survival Rate Male Risk Assessment Postoperative Complications Time Factors Heart Valve Diseases Germany Transcatheter Aortic Valve Replacement
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Potential role of artificial intelligence to address the COVID-19 outbreak-related mental health issues in India.

Psychiatry research Jun 1, 2020
Mental Health Services Coronavirus Infections Germany Betacoronavirus Pneumonia, Viral Pandemics COVID-19 Humans SARS-CoV-2 Artificial Intelligence Mental Health India
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Forecasting tuberculosis using diabetes-related google trends data.

Pathogens and global health May 26, 2020
Online activity-based data can be used to aid infectious disease forecasting. Our aim was to exploit the converging nature of the tuberculosis (TB) and diabetes epidemics to forecast TB case numbers. Thus, we extended TB prediction models based on tr...
Germany Humans Epidemics Neural Networks, Computer Epidemiological Monitoring Machine Learning Forecasting Diabetes Mellitus Tuberculosis
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Machine-learning based exploration of determinants of gray matter volume in the KORA-MRI study.

Scientific reports May 20, 2020
To identify the most important factors that impact brain volume, while accounting for potential collinearity, we used a data-driven machine-learning approach. Gray Matter Volume (GMV) was derived from magnetic resonance imaging (3T, FLAIR) and adjust...
Gray Matter Prediabetic State Life Style Confounding Factors, Epidemiologic Middle Aged Case-Control Studies Diabetes Mellitus, Type 2 Glomerular Filtration Rate Follow-Up Studies Magnetic Resonance Imaging Models, Neurological Organ Size Linear Models Germany Prospective Studies Female Cross-Sectional Studies Male Cardiovascular Diseases Humans Machine Learning
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Osteoporotic hip fracture prediction from risk factors available in administrative claims data - A machine learning approach.

PloS one May 19, 2020
OBJECTIVE: Hip fractures are among the most frequently occurring fragility fractures in older adults, associated with a loss of quality of life, high mortality, and high use of healthcare resources. The aim was to apply the superlearner method to pre...
Humans Risk Factors Machine Learning Aged Algorithms Aged, 80 and over Retrospective Studies Male Female Logistic Models Nonlinear Dynamics Hip Fractures Germany Osteoporotic Fractures
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The views of physicians and nurses on the potentials of an electronic assessment system for recognizing the needs of patients in palliative care.

BMC palliative care Apr 4, 2020
OBJECTIVES: Patients in oncological and palliative care (PC) often have complex needs, which require a comprehensive treatment approach. The assessment of patient-reported outcomes (PROs) has been shown to improve identification of patient needs and ...
Interviews as Topic Germany Palliative Care Needs Assessment Physicians Humans Qualitative Research Machine Learning Surveys and Questionnaires Health Personnel Nurses Attitude of Health Personnel
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The Role of Corneal Biomechanics for the Evaluation of Ectasia Patients.

International journal of environmental research and public health Mar 23, 2020
PURPOSE: To review the role of corneal biomechanics for the clinical evaluation of patients with ectatic corneal diseases.
ROC Curve Humans Corneal Topography Artificial Intelligence Germany Retrospective Studies Corneal Pachymetry Dilatation, Pathologic Cornea
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Prediction of prognosis in patients with tetralogy of Fallot based on deep learning imaging analysis.

Heart (British Cardiac Society) Mar 11, 2020
OBJECTIVE: To assess the utility of machine learning algorithms for automatically estimating prognosis in patients with repaired tetralogy of Fallot (ToF) using cardiac magnetic resonance (CMR).
Deep Learning Adult Humans Adolescent Tetralogy of Fallot Male Prospective Studies Time Factors Middle Aged Prognosis Magnetic Resonance Imaging, Cine Child Risk Assessment Female Electrocardiography Diagnosis, Computer-Assisted Risk Factors Predictive Value of Tests Young Adult Registries Feasibility Studies Image Interpretation, Computer-Assisted Germany
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Predicting patient outcomes in psychiatric hospitals with routine data: a machine learning approach.

BMC medical informatics and decision making Feb 6, 2020
BACKGROUND: A common problem in machine learning applications is availability of data at the point of decision making. The aim of the present study was to use routine data readily available at admission to predict aspects relevant to the organization...
Middle Aged ROC Curve Humans Logistic Models Germany Machine Learning Female Hospitals, Psychiatric Hospitalization Decision Support Techniques Aged Databases, Factual Adult Prognosis Male Electronic Health Records
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