AIMC Topic: Automation

Clear Filters Showing 851 to 860 of 967 articles

[Evidence synthesis 2.0: how artificial intelligence is making systematic reviews more efficient.].

Recenti progressi in medicina
Systematic reviews (SRs) are essential tools for synthesising the available scientific evidence on a given topic, and in some healthcare fields they represent the core for public health decisions according to the principles of evidence-based medicine...

Integrative Imaging Informatics for Cancer Research: Workflow Automation for Neuro-Oncology (I3CR-WANO).

JCO clinical cancer informatics
PURPOSE: Efforts to use growing volumes of clinical imaging data to generate tumor evaluations continue to require significant manual data wrangling, owing to data heterogeneity. Here, we propose an artificial intelligence-based solution for the aggr...

Robotic DNA Extraction Utilizing Qiagen BioSprint 96 Workstation.

Methods in molecular biology (Clifton, N.J.)
After an examination of evidentiary or reference samples has been performed, the next step is DNA extraction. This crucial step allows for deoxyribonucleic acid (DNA) to be released from a substrate by use of a series of chemicals and allows the DNA ...

Neuron tracing from light microscopy images: automation, deep learning and bench testing.

Bioinformatics (Oxford, England)
MOTIVATION: Large-scale neuronal morphologies are essential to neuronal typing, connectivity characterization and brain modeling. It is widely accepted that automation is critical to the production of neuronal morphology. Despite previous survey pape...

Using Artificial Intelligence for Optimization of the Processes and Resource Utilization in Radiotherapy.

JCO global oncology
The radiotherapy (RT) process from planning to treatment delivery is a multistep, complex operation involving numerous levels of human-machine interaction and requiring high precision. These steps are labor-intensive and time-consuming and require me...

Next-generation 5G fusion-based intelligent health-monitoring platform for ethylene cracking furnace tube.

Mathematical biosciences and engineering : MBE
This study aimed to develop a 5G + "mixed computing" + deep learning-based next-generation intelligent health-monitoring platform for an ethylene cracking furnace tube based on 5G communication technology, with the goal of improving the health manage...

Death by Robots? Automation and Working-Age Mortality in the United States.

Demography
The decline of manufacturing employment is frequently invoked as a key cause of worsening U.S. population health trends, including rising mortality due to "deaths of despair." Increasing automation-the use of industrial robots to perform tasks previo...

Deep Convolutional Neural Networks Implementation for the Analysis of Urine Culture.

Clinical chemistry
BACKGROUND: Urine culture images collected using bacteriology automation are currently interpreted by technologists during routine standard-of-care workflows. Machine learning may be able to improve the harmonization of and assist with these interpre...

An influent generator for WRRF design and operation based on a recurrent neural network with multi-objective optimization using a genetic algorithm.

Water science and technology : a journal of the International Association on Water Pollution Research
Nowadays, modelling, automation and control are widely used for Water Resource Recovery Facilities (WRRF) upgrading and optimization. Influent generator (IG) models are used to provide relevant input time series for dynamic WRRF simulations used in t...