AIMC Topic: Humans
Showing 66291 to 66300 of 95995 articles
Pain-Related Fear-Dissociable Neural Sources of Different Fear Constructs.
eNeuro
Jan 3, 2019
Fear of pain demonstrates significant prognostic value regarding the development of persistent musculoskeletal pain and disability. Its assessment often relies on self-report measures of pain-related fear by a variety of questionnaires. However, base...
The Relationship Between Trust and Use Choice in Human-Robot Interaction.
Human factors
Jan 2, 2019
OBJECTIVE: To understand the influence of trust on use choice in human-robot interaction via experimental investigation.
Radiogenomics in Clear Cell Renal Cell Carcinoma: Machine Learning-Based High-Dimensional Quantitative CT Texture Analysis in Predicting PBRM1 Mutation Status.
AJR. American journal of roentgenology
Jan 2, 2019
OBJECTIVE: The purpose of this study is to evaluate the potential value of machine learning (ML)-based high-dimensional quantitative CT texture analysis in predicting the mutation status of the gene encoding the protein polybromo-1 (PBRM1) in patient...
Predictive Value of Tests
Mutation
Radiographic Image Interpretation, Computer-Assisted
DNA-Binding Proteins
Nuclear Proteins
Retrospective Studies
Transcription Factors
Tomography, X-Ray Computed
Contrast Media
Female
Kidney Neoplasms
Reproducibility of Results
Humans
Carcinoma, Renal Cell
Aged
Machine Learning
Male
Algorithms
Middle Aged
Prediction of implantation after blastocyst transfer in in vitro fertilization: a machine-learning perspective.
Fertility and sterility
Jan 2, 2019
OBJECTIVE: To develop a random forest model (RFM) to predict implantation potential of a transferred embryo and compare it with a multivariate logistic regression model (MvLRM), based on data from a large cohort including in vitro fertilization (IVF)...
Artificial Intelligence for Breast MRI in 2008-2018: A Systematic Mapping Review.
AJR. American journal of roentgenology
Jan 2, 2019
OBJECTIVE: The purpose of this study is to review literature from the past decade on applications of artificial intelligence (AI) to breast MRI.
Efficient Segmentation of Brain Tumor Using FL-SNM with a Metaheuristic Approach to Optimization.
Journal of medical systems
Jan 2, 2019
Nowadays, automatic tumor detection from brain images is extremely significant for many diagnostic as well as therapeutic purposes, due to the unpredictable shape and appearance of tumors. In medical image analysis, the automatic segmentation of tumo...
Classification and Quantification of Emphysema Using a Multi-Scale Residual Network.
IEEE journal of biomedical and health informatics
Jan 1, 2019
Automated tissue classification is an essential step for quantitative analysis and treatment of emphysema. Although many studies have been conducted in this area, there still remain two major challenges. First, different emphysematous tissue appears ...
Annotation of gene product function from high-throughput studies using the Gene Ontology.
Database : the journal of biological databases and curation
Jan 1, 2019
High-throughput studies constitute an essential and valued source of information for researchers. However, high-throughput experimental workflows are often complex, with multiple data sets that may contain large numbers of false positives. The repres...
Artificial intelligence-based decision-making for age-related macular degeneration.
Theranostics
Jan 1, 2019
Artificial intelligence (AI) based on convolutional neural networks (CNNs) has a great potential to enhance medical workflow and improve health care quality. Of particular interest is practical implementation of such AI-based software as a cloud-base...
A Lung Sound Category Recognition Method Based on Wavelet Decomposition and BP Neural Network.
International journal of biological sciences
Jan 1, 2019
In this paper, a method of characteristic extraction and recognition on lung sounds is given. Wavelet de-noised method is adopted to reduce noise of collected lung sounds and extract wavelet characteristic coefficients of the de-noised lung sounds by...
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