AIMC Topic: Humans
Research on Humans in artificial intelligence and machine learning in medicine, selected for practicing healthcare professionals.
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Analysis and prediction of human acetylation using a cascade classifier based on support vector machine.
BMC bioinformatics
Jun 17, 2019
BACKGROUND: Acetylation on lysine is a widespread post-translational modification which is reversible and plays a crucial role in some biological activities. To better understand the mechanism, it is necessary to identify acetylation sites in protein...
Real-time estimation of electric fields induced by transcranial magnetic stimulation with deep neural networks.
Brain stimulation
Jun 17, 2019
BACKGROUND: Transcranial magnetic stimulation (TMS) plays an important role in treatment of mental and neurological illnesses, and neurosurgery. However, it is difficult to target specific brain regions accurately because the complex anatomy of the b...
The effects of robotic gait neurorehabilitation and focal vibration combined treatment in adult cerebral palsy.
Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology
Jun 16, 2019
Comparison of autoregressive integrated moving average model and generalised regression neural network model for prediction of haemorrhagic fever with renal syndrome in China: a time-series study.
BMJ open
Jun 16, 2019
OBJECTIVES: Haemorrhagic fever with renal syndrome (HFRS) is a serious threat to public health in China, accounting for almost 90% cases reported globally. Infectious disease prediction may help in disease prevention despite some uncontrollable influ...
Why imaging data alone is not enough: AI-based integration of imaging, omics, and clinical data.
European journal of nuclear medicine and molecular imaging
Jun 15, 2019
Artificial intelligence (AI) is currently regaining enormous interest due to the success of machine learning (ML), and in particular deep learning (DL). Image analysis, and thus radiomics, strongly benefits from this research. However, effectively an...
Response to Letter to the Editor on "Robot-Assisted Total Knee Arthroplasty Does Not Improve Long-Term Clinical and Radiologic Outcomes".
The Journal of arthroplasty
Jun 15, 2019
Artery-vein segmentation in fundus images using a fully convolutional network.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Jun 15, 2019
Epidemiological studies demonstrate that dimensions of retinal vessels change with ocular diseases, coronary heart disease and stroke. Different metrics have been described to quantify these changes in fundus images, with arteriolar and venular calib...
Self-supervised iterative refinement learning for macular OCT volumetric data classification.
Computers in biology and medicine
Jun 15, 2019
We present self-supervised iterative refinement learning (SIRL) as a pipeline to improve a type of macular optical coherence tomography (OCT) volumetric image classification algorithms. In this type of algorithms, first, two-dimensional (2D) image cl...
Intelligent prediction of kinetic parameters during cutting manoeuvres.
Medical & biological engineering & computing
Jun 15, 2019
Due to its capabilities in analysing injury risk, the ability to analyse an athlete's ground reaction force and joint moments is of high interest in sports biomechanics. However, using force plates for the kinetic measurements influences the athlete'...
Detection of the BRAF V600E Mutation in Colorectal Cancer by NIR Spectroscopy in Conjunction with Counter Propagation Artificial Neural Network.
Molecules (Basel, Switzerland)
Jun 15, 2019
This paper proposes a sensitive, sample preparation-free, rapid, and low-cost method for the detection of the B-rapidly accelerated fibrosarcoma (BRAF) gene mutation involving a substitution of valine to glutamic acid at codon 600 (V600E) in colorect...
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