AIMC Topic: Humans
Showing 64501 to 64510 of 95995 articles
A neural network architecture for learning word-referent associations in multiple contexts.
Neural networks : the official journal of the International Neural Network Society
May 27, 2019
This article proposes a biologically inspired neurocomputational architecture which learns associations between words and referents in different contexts, considering evidence collected from the literature of Psycholinguistics and Neurolinguistics. T...
Benefits of deep learning for delineation of organs at risk in head and neck cancer.
Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
May 27, 2019
PURPOSE/OBJECTIVE: Precise delineation of organs at risk (OARs) in head and neck cancer (HNC) is necessary for accurate radiotherapy. Although guidelines exist, significant interobserver variability (IOV) remains. The aim was to validate a 3D convolu...
Surgical Approaches to the Adrenal Gland.
The Surgical clinics of North America
May 27, 2019
Adrenalectomy can be performed open, endoscopically or robotically, utilizing a transabdominal or retroperitoneal approach. This chapter describes the relevant anatomy, various approaches and surgical techniques, pre-operative work-up and optimizatio...
Prognosis of cervical myelopathy based on diffusion tensor imaging with artificial intelligence methods.
NMR in biomedicine
May 27, 2019
Diffusion tensor imaging (DTI) has been proposed for the prognosis of cervical myelopathy (CM), but the manual analysis of DTI features is complicated and time consuming. This study evaluated the potential of artificial intelligence (AI) methods in t...
Biotechnology, Big Data and Artificial Intelligence.
Biotechnology journal
May 27, 2019
Developments in biotechnology are increasingly dependent on the extensive use of big data, generated by modern high-throughput instrumentation technologies, and stored in thousands of databases, public and private. Future developments in this area de...
Artificial intelligence, robotics and cyborgs: The future of research and technological development in ophthalmology.
Archivos de la Sociedad Espanola de Oftalmologia
May 27, 2019
Spatiotemporal discrimination in attractor networks with short-term synaptic plasticity.
Journal of computational neuroscience
May 27, 2019
We demonstrate that a randomly connected attractor network with dynamic synapses can discriminate between similar sequences containing multiple stimuli suggesting such networks provide a general basis for neural computations in the brain. The network...
Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning.
Nature methods
May 27, 2019
In mass-spectrometry-based proteomics, the identification and quantification of peptides and proteins heavily rely on sequence database searching or spectral library matching. The lack of accurate predictive models for fragment ion intensities impair...
Whole-genome deep-learning analysis identifies contribution of noncoding mutations to autism risk.
Nature genetics
May 27, 2019
We address the challenge of detecting the contribution of noncoding mutations to disease with a deep-learning-based framework that predicts the specific regulatory effects and the deleterious impact of genetic variants. Applying this framework to 1,7...
Humans
Algorithms
Genomics
Genetic Predisposition to Disease
Genetic Association Studies
Computational Biology
Phenotype
Autism Spectrum Disorder
Deep Learning
RNA, Untranslated
Genes, Reporter
RNA Processing, Post-Transcriptional
Gene Expression Regulation
Gene Expression
Genome, Human
Mutation
Transcription, Genetic
Alleles
Machine Learning in the Detection of the Glaucomatous Disc and Visual Field.
Seminars in ophthalmology
May 27, 2019
Glaucoma is the leading cause of irreversible blindness worldwide. Early detection is of utmost importance as there is abundant evidence that early treatment prevents disease progression, preserves vision, and improves patients' long-term quality of ...
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