AIMC Topic: Terminology as Topic

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Fundamentals in Artificial Intelligence for Vascular Surgeons.

Annals of vascular surgery Dec 16, 2019
Artificial intelligence (AI) corresponds to a broad discipline that aims to design systems, which display properties of human intelligence. While it has led to many advances and applications in daily life, its introduction in medicine is still in its...
Surgery, Computer-Assisted Diffusion of Innovation Terminology as Topic Surgeons Attitude of Health Personnel Health Knowledge, Attitudes, Practice Vascular Surgical Procedures Attitude to Computers Humans Artificial Intelligence Forecasting
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Terminologies augmented recurrent neural network model for clinical named entity recognition.

Journal of biomedical informatics Dec 16, 2019
OBJECTIVE: We aimed to enhance the performance of a supervised model for clinical named-entity recognition (NER) using medical terminologies. In order to evaluate our system in French, we built a corpus for 5 types of clinical entities.
Language Natural Language Processing Neural Networks, Computer Terminology as Topic
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Circular Causation, Circular Cognition: A Tour Around Some Common Confusions.

Artificial life Nov 7, 2019
Life and cognition are inherently circular dynamical processes, and people have difficulty understanding circular causation. I give case studies illustrating some resulting confusions, and propose that the problems may lie in failing to properly dist...
Cognition Terminology as Topic Life Humans Artificial Intelligence
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Dysmorphology in a Genomic Era.

Clinics in perinatology Oct 31, 2019
Dysmorphology is the practice of defining the morphologic phenotype of syndromic disorders. Genomic sequencing has advanced our understanding of human variation and molecular dysmorphology has evolved in response to the science of relating embryologi...
Diagnosis, Differential Infant, Newborn Humans Genetic Testing Abnormalities, Multiple Genome, Human Terminology as Topic Phenotype Genetic Variation Genomics Neonatal Screening Genetic Counseling Genotype Genetics, Medical
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Pre and post-hoc diagnosis and interpretation of malignancy from breast DCE-MRI.

Medical image analysis Sep 17, 2019
We propose a new method for breast cancer screening from DCE-MRI based on a post-hoc approach that is trained using weakly annotated data (i.e., labels are available only at the image level without any lesion delineation). Our proposed post-hoc metho...
Terminology as Topic Early Detection of Cancer Supervised Machine Learning Humans Female Breast Neoplasms Diagnosis, Computer-Assisted Mass Screening Magnetic Resonance Imaging
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Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association.

The Journal of pathology Sep 3, 2019
In this white paper, experts from the Digital Pathology Association (DPA) define terminology and concepts in the emerging field of computational pathology, with a focus on its application to histology images analyzed together with their associated pa...
Humans Artificial Intelligence Benchmarking Image Interpretation, Computer-Assisted Terminology as Topic Diagnosis, Computer-Assisted Predictive Value of Tests Workflow Policy Making Computer Security Pathology
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Unsupervised word embeddings capture latent knowledge from materials science literature.

Nature Jul 3, 2019
The overwhelming majority of scientific knowledge is published as text, which is difficult to analyse by either traditional statistical analysis or modern machine learning methods. By contrast, the main source of machine-interpretable data for the ma...
Knowledge Electric Conductivity Materials Science Terminology as Topic Magnetics Natural Language Processing Reproducibility of Results Data Mining Research Iron Lithium Research Report Temperature Unsupervised Machine Learning Electrodes Semantics
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Artificial intelligence, machine learning and deep learning: definitions and differences.

Clinical and experimental dermatology Jun 24, 2019
Artificial Intelligence Deep Learning Machine Learning Dermatology Terminology as Topic
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An Ontology to Standardize Research Output of Nutritional Epidemiology: From Paper-Based Standards to Linked Content.

Nutrients Jun 8, 2019
BACKGROUND: The use of linked data in the Semantic Web is a promising approach to add value to nutrition research. An ontology, which defines the logical relationships between well-defined taxonomic terms, enables linking and harmonizing research out...
Nutritional Sciences Epidemiologic Methods Humans Data Analysis Information Dissemination Biomedical Research Biological Ontologies Terminology as Topic Diet Data Accuracy
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Update on the Urology Tag Ontology: Standardized Hashtags for Social Media in Urology.

European urology Jun 1, 2019
Humans Social Media Biological Ontologies Terminology as Topic Urology
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