AIMC Topic: Humans

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Salivary microRNAs identified by small RNA sequencing and machine learning as potential biomarkers of alcohol dependence.

Epigenomics May 29, 2019
Salivary miRNA can be easily accessible biomarkers of alcohol dependence (AD). The miRNA transcriptome in the saliva of 56 African-Americans (AAs; 28 AD patients/28 controls) and 64 European-Americans (EAs; 32 AD patients/32 controls) was profiled ...
Gene Expression Regulation Alcoholism Black or African American MicroRNAs Saliva White People Female Adult Male Middle Aged Case-Control Studies Sequence Analysis, RNA Humans Machine Learning Biomarkers
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Automated Identification of Optimal Portal Venous Phase Timing with Convolutional Neural Networks.

Academic radiology May 28, 2019
OBJECTIVES: To develop a deep learning-based algorithm to automatically identify optimal portal venous phase timing (PVP-timing) so that image analysis techniques can be accurately performed on post contrast studies.
Retrospective Studies Deep Learning Liver Neoplasms Contrast Media Portal Vein Clinical Trials as Topic Humans Neural Networks, Computer Algorithms
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Outcomes and impact of laparoscopic inguinal hernia repair versus open inguinal hernia repair on healthcare spending and employee absenteeism.

Surgical endoscopy May 28, 2019
BACKGROUND: This study compares the impact of open (OIHR) versus laparoscopic (LIHR) inguinal hernia repair on healthcare spending and postoperative outcomes.
Postoperative Complications Adolescent Cohort Studies Adult Male Humans Middle Aged Databases, Factual Conversion to Open Surgery Hernia, Inguinal Retrospective Studies Absenteeism Female United States Robotics Laparoscopy
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Cutting the optical leash: rethinking the "robot" in robotic surgery.

Journal of robotic surgery May 28, 2019
Humans Robotics Robotic Surgical Procedures
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Machine learning methods for developing precision treatment rules with observational data.

Behaviour research and therapy May 28, 2019
Clinical trials have identified a variety of predictor variables for use in precision treatment protocols, ranging from clinical biomarkers and symptom profiles to self-report measures of various sorts. Although such variables are informative collect...
Suicide Prevention Decision Support Systems, Clinical Observational Studies as Topic Information Storage and Retrieval Clinical Decision Rules Databases, Factual Precision Medicine Humans Suicide, Attempted Machine Learning
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Time series classification with Echo Memory Networks.

Neural networks : the official journal of the International Neural Network Society May 28, 2019
Echo state networks (ESNs) are randomly connected recurrent neural networks (RNNs) that can be used as a temporal kernel for modeling time series data, and have been successfully applied on time series prediction tasks. Recently, ESNs have been appli...
Neural Networks, Computer Time Humans
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Prediction of rTMS treatment response in major depressive disorder using machine learning techniques and nonlinear features of EEG signal.

Journal of affective disorders May 28, 2019
BACKGROUND: Prediction of therapeutic outcome of repetitive transcranial magnetic stimulation (rTMS) treatment is an important purpose that eliminates financial and psychological consequences of applying inefficient therapy. To achieve this goal we p...
Treatment Outcome Machine Learning Electroencephalography Algorithms Transcranial Magnetic Stimulation Male Female Humans Prognosis Middle Aged Adult Depressive Disorder, Major Sensitivity and Specificity
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A Road Map for Translational Research on Artificial Intelligence in Medical Imaging: From the 2018 National Institutes of Health/RSNA/ACR/The Academy Workshop.

Journal of the American College of Radiology : JACR May 28, 2019
Advances in machine learning in medical imaging are occurring at a rapid pace in research laboratories both at academic institutions and in industry. Important artificial intelligence (AI) tools for diagnostic imaging include algorithms for disease d...
United States Diagnostic Imaging Translational Research, Biomedical Humans Artificial Intelligence Research Design
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Supervised methods to extract clinical events from cardiology reports in Italian.

Journal of biomedical informatics May 28, 2019
Clinical narratives are a valuable source of information for both patient care and biomedical research. Given the unstructured nature of medical reports, specific automatic techniques are required to extract relevant entities from such texts. In the ...
Heart Diseases Semantics Humans Neural Networks, Computer Electronic Health Records Natural Language Processing Italy Data Mining
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Applications of deep learning for the analysis of medical data.

Archives of pharmacal research May 28, 2019
Over the past decade, deep learning has demonstrated superior performances in solving many problems in various fields of medicine compared with other machine learning methods. To understand how deep learning has surpassed traditional machine learning...
Humans Data Analysis Drug Discovery Datasets as Topic Stomach Electroencephalography Seizures Radiographic Image Interpretation, Computer-Assisted Deep Learning Big Data Computational Biology
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