AIMC Topic: Biomedical Research

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Using an artificial neural network to map cancer common data elements to the biomedical research integrated domain group model in a semi-automated manner.

BMC medical informatics and decision making Dec 23, 2019
BACKGROUND: The medical community uses a variety of data standards for both clinical and research reporting needs. ISO 11179 Common Data Elements (CDEs) represent one such standard that provides robust data point definitions. Another standard is the ...
Neural Networks, Computer Algorithms Humans Neoplasms Semantics Common Data Elements Research Design Biomedical Research
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Re-examining physician-scientist training through the prism of the discovery-invention cycle.

F1000Research Dec 19, 2019
The training of physician-scientists lies at the heart of future medical research. In this commentary, we apply Narayanamurti and Odumosu's framework of the "discovery-invention cycle" to analyze the structure and outcomes of the integrated MD/PhD pr...
Biomedical Research Humans Inventions Education, Medical, Graduate Physicians Research Personnel
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The Hearing Impairment Ontology: A Tool for Unifying Hearing Impairment Knowledge to Enhance Collaborative Research.

Genes Nov 21, 2019
Hearing impairment (HI) is a common sensory disorder that is defined as the partial or complete inability to detect sound in one or both ears. This diverse pathology is associated with a myriad of phenotypic expressions and can be non-syndromic or sy...
Biological Ontologies Knowledge Humans Biomedical Research Hearing Loss Cooperative Behavior
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Medical Image Perception Research in the Emerging Age of Artificial Intelligence.

Radiology Nov 12, 2019
Humans Neural Networks, Computer Artificial Intelligence Radiologists Software Biomedical Research
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The Use of Deep Learning and Neural Networks in Imaging: Welcome to the New Mathematical Milieu of Medicine.

Neuroendocrinology Nov 7, 2019
Neuroendocrine Tumors Neural Networks, Computer Humans Machine Learning Deep Learning Biomedical Research Models, Theoretical
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Machine learning algorithm validation with a limited sample size.

PloS one Nov 7, 2019
Advances in neuroimaging, genomic, motion tracking, eye-tracking and many other technology-based data collection methods have led to a torrent of high dimensional datasets, which commonly have a small number of samples because of the intrinsic high c...
Sample Size Data Interpretation, Statistical Humans Algorithms Machine Learning Biomedical Research
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A microsurgical robot research platform for robot-assisted microsurgery research and training.

International journal of computer assisted radiology and surgery Oct 11, 2019
PURPOSE: Ocular surgery, ear, nose and throat surgery and neurosurgery are typical types of microsurgery. A versatile training platform can assist microsurgical skills development and accelerate the uptake of robot-assisted microsurgery (RAMS). Howev...
Biomedical Research Robotics Software Microsurgery Surgery, Computer-Assisted Equipment Design Humans Algorithms Education, Medical, Graduate
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Predicting translational progress in biomedical research.

PLoS biology Oct 10, 2019
Fundamental scientific advances can take decades to translate into improvements in human health. Shortening this interval would increase the rate at which scientific discoveries lead to successful treatment of human disease. One way to accomplish thi...
Practice Guidelines as Topic Clinical Trials as Topic Biomedical Research Periodicals as Topic Time Factors Humans Translational Research, Biomedical Bibliometrics Machine Learning
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Trends and Focus of Machine Learning Applications for Health Research.

JAMA network open Oct 2, 2019
IMPORTANCE: The use of machine learning applications related to health is rapidly increasing and may have the potential to profoundly affect the field of health care.
Congresses as Topic Delivery of Health Care Humans Biomedical Research Machine Learning Health Services Research
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Automation With Intelligence in Drug Research.

Clinical therapeutics Oct 1, 2019
The industry has adopted Clinical Data Interchange Standards Consortium standards for clinical trial data and the Food and Drug Administration electronic common technical document standard for documents for many years but still faces many challenges....
Robotics Metadata Drug Industry Automation Artificial Intelligence Biomedical Research
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