AIMC Topic: Humans

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An overview of deep learning in medical imaging focusing on MRI.

Zeitschrift fur medizinische Physik Dec 13, 2018
What has happened in machine learning lately, and what does it mean for the future of medical image analysis? Machine learning has witnessed a tremendous amount of attention over the last few years. The current boom started around 2009 when so-called...
Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Animals
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Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic Retinopathy.

Ophthalmology Dec 13, 2018
PURPOSE: To understand the impact of deep learning diabetic retinopathy (DR) algorithms on physician readers in computer-assisted settings.
ROC Curve Reference Standards Photography Ophthalmologists Male Diagnosis, Computer-Assisted Deep Learning Female Reproducibility of Results Sensitivity and Specificity Diabetic Retinopathy Algorithms Humans
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An empirical evaluation of multivariate lesion behaviour mapping using support vector regression.

Human brain mapping Dec 13, 2018
Multivariate lesion behaviour mapping based on machine learning algorithms has recently been suggested to complement the methods of anatomo-behavioural approaches in cognitive neuroscience. Several studies applied and validated support vector regress...
Humans Algorithms Image Processing, Computer-Assisted Brain Mapping Bias Stroke Support Vector Machine Magnetic Resonance Imaging Models, Neurological Brain Diseases Cerebrovascular Circulation Behavior
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Diagnosis using deep-learning artificial intelligence based on the endocytoscopic observation of the esophagus.

Esophagus : official journal of the Japan Esophageal Society Dec 13, 2018
BACKGROUND AND AIMS: The endocytoscopic system (ECS) helps in virtual realization of histology and can aid in confirming histological diagnosis in vivo. We propose replacing biopsy-based histology for esophageal squamous cell carcinoma (ESCC) by usin...
Esophagitis Esophagoscopy Humans Esophageal Neoplasms Algorithms Gastroesophageal Reflux Sensitivity and Specificity Retrospective Studies Esophageal Squamous Cell Carcinoma Deep Learning ROC Curve
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Early access to health products in France: Major advances of the French "Conseil stratégique des industries de santé" (CSIS) to be implemented (modalities, regulations, funding).

Therapie Dec 13, 2018
In a context of perpetual evolution of treatments, access to therapeutic innovation is a major challenge for patients and the various players involved in the procedures of access to medicines. The revolutions in genomic and personalized medicine, art...
Drug Approval France Humans Health Care Sector Clinical Trials as Topic Health Systems Agencies Hospitals Device Approval Diffusion of Innovation
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"Artificial intelligence": Which services, which applications, which results and which development today in clinical research? Which impact on the quality of care? Which recommendations?

Therapie Dec 13, 2018
Artificial intelligence (AI), beyond the concrete applications that have already become part of our daily lives, makes it possible to process numerous and heterogeneous data and knowledge, and to understand potentially complex and abstract rules in a...
France Clinical Trials as Topic Ergonomics Biomedical Research Humans Information Dissemination Artificial Intelligence Quality of Health Care Research
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A hierarchical machine learning classification approach for secondary task identification from observed driving behavior data.

Accident; analysis and prevention Dec 13, 2018
According to NHTSA, more than 3477 people (including 551 non-occupants) were killed and 391,000 were injured due to distraction-related crashes in 2015. The distracted driving epidemic has long been under research to identify its impact on driving be...
Text Messaging Male Cell Phone Humans Distracted Driving Deep Learning Behavior Observation Techniques Female Accidents, Traffic Adult
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[Artificial Intelligence with Radiology as a Trailblazer for Super-Diagnostics: An Essay].

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin Dec 13, 2018
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Artificial Intelligence Forecasting Humans Radiology Germany
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Identifying mouse developmental essential genes using machine learning.

Disease models & mechanisms Dec 13, 2018
The genes that are required for organismal survival are annotated as 'essential genes'. Identifying all the essential genes of an animal species can reveal critical functions that are needed during the development of the organism. To inform studies o...
Molecular Sequence Annotation Gene Ontology Conserved Sequence Algorithms Point Mutation Animals Phenotype Humans Databases, Genetic Chromosomes, Mammalian Protein Interaction Maps Reproducibility of Results Machine Learning Genes, Essential Genes, Developmental Mice Software Mutagenesis
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Prediction of Hemodialysis Timing Based on LVW Feature Selection and Ensemble Learning.

Journal of medical systems Dec 13, 2018
We propose an improved model based on LVW embedded model feature extractor and ensemble learning for improving prediction accuracy of hemodialysis timing in this paper. Due to this drawback caused by feature extraction models, we adopt an enhanced LV...
Machine Learning Algorithms Renal Dialysis Humans Time Factors Decision Support Systems, Clinical
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