AIMC Topic: Humans

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A deep learning radiomics model for preoperative grading in meningioma.

European journal of radiology May 1, 2019
OBJECTIVES: To noninvasively differentiate meningioma grades by deep learning radiomics (DLR) model based on routine post-contrast MRI.
Meningioma Meningeal Neoplasms Meninges Area Under Curve Neoplasm Grading Preoperative Care Adolescent Cohort Studies Magnetic Resonance Imaging Aged Young Adult Adult Middle Aged Deep Learning Prognosis Sensitivity and Specificity Male Retrospective Studies Female Reproducibility of Results Humans Algorithms
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Robot-Assisted Reaching Performance of Chronic Stroke and Healthy Individuals in a Virtual Versus a Physical Environment: A Pilot Study.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society May 1, 2019
The aim of the current study was to examine the role of environment, whether virtual or physical, on robot-assisted reaching movements in chronic stroke and healthy individuals, within a single session. Twenty-three subjects participated in the curre...
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Humans Female Aged Aged, 80 and over Treatment Outcome Robotics Equipment Design Environment Stroke Rehabilitation Stroke Psychomotor Performance Middle Aged Pilot Projects Surveys and Questionnaires Adult Virtual Reality Biomechanical Phenomena Male
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Potential Role of Machine Learning in Oncology.

The journal of contemporary dental practice May 1, 2019
Machine learning (ML) is the ability of computers to learn from data autonomously. It is a core branch of artificial intelligence (AI), which is defined as the ability of a machine to replicate the intellectual processes of humans independently. The ...
Artificial Intelligence Machine Learning Humans Neural Networks, Computer Algorithms
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Systems biology intertwines with single cell and AI.

BMC bioinformatics May 1, 2019
A report of the 12th International Conference on Systems Biology (ISB2018), 18-21 August, Guiyang, China.
Computational Biology Systems Biology Congresses as Topic Single-Cell Analysis Genomics Humans Artificial Intelligence
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MD-SVM: a novel SVM-based algorithm for the motif discovery of transcription factor binding sites.

BMC bioinformatics May 1, 2019
BACKGROUND: Transcription factors (TFs) play important roles in the regulation of gene expression. They can activate or block transcription of downstream genes in a manner of binding to specific genomic sequences. Therefore, motif discovery of these ...
Humans Algorithms Protein Binding Transcription Factors Support Vector Machine Binding Sites Nucleotide Motifs
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Supervised Domain Adaptation for Automatic Sub-cortical Brain Structure Segmentation with Minimal User Interaction.

Scientific reports May 1, 2019
In recent years, some convolutional neural networks (CNNs) have been proposed to segment sub-cortical brain structures from magnetic resonance images (MRIs). Although these methods provide accurate segmentation, there is a reproducibility issue regar...
User-Computer Interface Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Neural Networks, Computer Brain
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Electrocardiogram generation with a bidirectional LSTM-CNN generative adversarial network.

Scientific reports May 1, 2019
Heart disease is a malignant threat to human health. Electrocardiogram (ECG) tests are used to help diagnose heart disease by recording the heart's activity. However, automated medical-aided diagnosis with computers usually requires a large volume of...
Humans Diagnosis, Computer-Assisted Neural Networks, Computer Computational Biology Electrocardiography Algorithms Heart Diseases Computer Simulation
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Deep Learning in the Prediction of Ischaemic Stroke Thrombolysis Functional Outcomes: A Pilot Study.

Academic radiology Apr 30, 2019
RATIONALE AND OBJECTIVES: Intravenous thrombolysis decision-making and obtaining of consent would be assisted by an individualized risk-benefit ratio. Deep learning (DL) models may be able to assist with this patient selection.
Thrombolytic Therapy Humans Stroke Deep Learning Brain Ischemia Pilot Projects
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Computer-assisted prediction of atherosclerotic intimal thickness based on weight of adrenal gland, interleukin-6 concentration, and neural networks.

The Journal of international medical research Apr 30, 2019
OBJECTIVE: Atherosclerosis (AS) is the main pathological basis of ischemic cardio-cerebrovascular diseases, and the intimal thickness (IT) of large arteries is regarded as a powerful evaluation indicator for AS. We established an effective neural net...
Rabbits Carotid Intima-Media Thickness Adrenal Glands Risk Factors Animals Organ Size Atherosclerosis Algorithms Interleukin-6 Reproducibility of Results Humans Neural Networks, Computer
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Precise diagnosis of intracranial hemorrhage and subtypes using a three-dimensional joint convolutional and recurrent neural network.

European radiology Apr 30, 2019
OBJECTIVES: To evaluate the performance of a novel three-dimensional (3D) joint convolutional and recurrent neural network (CNN-RNN) for the detection of intracranial hemorrhage (ICH) and its five subtypes (cerebral parenchymal, intraventricular, sub...
Humans Male Algorithms Imaging, Three-Dimensional Middle Aged Reproducibility of Results Retrospective Studies Adolescent Intracranial Hemorrhages Tomography, X-Ray Computed Infant Child, Preschool Aged Aged, 80 and over Female Deep Learning Child Young Adult Adult
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