AIMC Topic: Research
Clear Filters Showing 61 to 70 of 149 articles
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...
Artificial Intelligence (AI) for the early detection of breast cancer: a scoping review to assess AI's potential in breast screening practice.
Expert review of medical devices
May 3, 2019
INTRODUCTION: Various factors are driving interest in the application of artificial intelligence (AI) for breast cancer (BC) detection, but it is unclear whether the evidence warrants large-scale use in population-based screening.
Cells in ExperimentaL Life Sciences (CELLS-2018): capturing the knowledge of normal and diseased cells with ontologies.
BMC bioinformatics
Apr 25, 2019
Cell cultures and cell lines are widely used in life science experiments. In conjunction with the 2018 International Conference on Biomedical Ontology (ICBO-2018), the 2nd International Workshop on Cells in ExperimentaL Life Science (CELLS-2018) focu...
Machine learning in suicide science: Applications and ethics.
Behavioral sciences & the law
Jan 4, 2019
For decades, our ability to predict suicide has remained at near-chance levels. Machine learning has recently emerged as a promising tool for advancing suicide science, particularly in the domain of suicide prediction. The present review provides an ...
"Artificial intelligence": Which services, which applications, which results and which development today in clinical research? Which impact on the quality of care? Which recommendations?
Therapie
Dec 13, 2018
Artificial intelligence (AI), beyond the concrete applications that have already become part of our daily lives, makes it possible to process numerous and heterogeneous data and knowledge, and to understand potentially complex and abstract rules in a...
The UK Research Excellence Framework and the Matthew effect: Insights from machine learning.
PloS one
Nov 26, 2018
With the high cost of the research assessment exercises in the UK, many have called for simpler and less time-consuming alternatives. In this work, we gathered publicly available REF data, combined them with library-subscribed data, and used machine ...
Artificial intelligence and medical imaging 2018: French Radiology Community white paper.
Diagnostic and interventional imaging
Nov 22, 2018
The rapid development of information technology and data processing capabilities has led to the creation of new tools known as artificial intelligence (AI). Medical applications of AI are emerging, and the French radiology community felt it was there...
Internet of instruments: Connectivity of research instruments and artificial intelligence could drastically advance experimental science.
EMBO reports
Nov 7, 2018
The internet of things is arriving at the laboratory, connecting instruments for remote control and monitoring. Along with Artificial Intelligence Software to analyse data and design experiments, it could fundamentally change the way research is done...
Toward analyzing and synthesizing previous research in early prediction of cardiac arrest using machine learning based on a multi-layered integrative framework.
Journal of biomedical informatics
Oct 30, 2018
BACKGROUND: One of the significant problems in the field of healthcare is the low survival rate of people who have experienced sudden cardiac arrest. Early prediction of cardiac arrest can provide the time required for intervening and preventing its ...
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