AIMC Topic: Humans
Showing 64451 to 64460 of 95995 articles
Ensemble of Convolutional Neural Networks Improves Automated Segmentation of Acute Ischemic Lesions Using Multiparametric Diffusion-Weighted MRI.
AJNR. American journal of neuroradiology
May 30, 2019
BACKGROUND AND PURPOSE: Accurate automated infarct segmentation is needed for acute ischemic stroke studies relying on infarct volumes as an imaging phenotype or biomarker that require large numbers of subjects. This study investigated whether an ens...
Deep Learning-Based Automatic Segmentation of Lumbosacral Nerves on CT for Spinal Intervention: A Translational Study.
AJNR. American journal of neuroradiology
May 30, 2019
BACKGROUND AND PURPOSE: 3D reconstruction of a targeted area ("safe" triangle and Kambin triangle) may benefit the viability assessment of transforaminal epidural steroid injection, especially at the L5/S1 level. However, manual segmentation of lumbo...
Using mid-infrared spectroscopy and supervised machine-learning to identify vertebrate blood meals in the malaria vector, Anopheles arabiensis.
Malaria journal
May 30, 2019
BACKGROUND: The propensity of different Anopheles mosquitoes to bite humans instead of other vertebrates influences their capacity to transmit pathogens to humans. Unfortunately, determining proportions of mosquitoes that have fed on humans, i.e. Hum...
Robotic assisted generation of 2'-deoxy-2'-fluoro-modifed RNA aptamers - High performance enabling strategies in aptamer selection.
Methods (San Diego, Calif.)
May 30, 2019
Aptamer selection is a laborious procedure, requiring expertise and significant resources. These characteristics limit the accessibility of researchers to these molecular tools. We describe a selection procedure, making use of a robotic system that a...
Do street-level scene perceptions affect housing prices in Chinese megacities? An analysis using open access datasets and deep learning.
PloS one
May 30, 2019
Many studies have explored the relationship between housing prices and environmental characteristics using the hedonic price model (HPM). However, few studies have deeply examined the impact of scene perception near residential units on housing price...
I-Vector-Based Patient Adaptation of Deep Neural Networks for Automatic Heartbeat Classification.
IEEE journal of biomedical and health informatics
May 29, 2019
Automatic classification of electrocardiogram (ECG) signals is important for diagnosing heart arrhythmias. A big challenge in automatic ECG classification is the variation in the waveforms and characteristics of ECG signals among different patients. ...
Identification of leukemia stem cell expression signatures through Monte Carlo feature selection strategy and support vector machine.
Cancer gene therapy
May 29, 2019
Acute myeloid leukemia (AML) is a type of blood cancer characterized by the rapid growth of immature white blood cells from the bone marrow. Therapy resistance resulting from the persistence of leukemia stem cells (LSCs) are found in numerous patient...
Data augmentation in dermatology image recognition using machine learning.
Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)
May 29, 2019
BACKGROUND: Each year in the United States, over 80 million people are affected by acne, atopic dermatitis, rosacea, psoriasis, and impetigo. Artificial intelligence and machine learning could prove to be a good tool for assisting in the diagnosis of...
A novel IRBF-RVM model for diagnosis of atrial fibrillation.
Computer methods and programs in biomedicine
May 29, 2019
BACKGROUND AND OBJECTIVE: Atrial fibrillation (AF) is one of the common cardiovascular diseases, and electrocardiography (ECG) is a key indicator for the detection and diagnosis of AF and other heart diseases. In this study, an improved machine learn...
Using artificial intelligence methods to speed up drug discovery.
Expert opinion on drug discovery
May 29, 2019
: Drug discovery is the process through which potential new compounds are identified by means of biology, chemistry, and pharmacology. Due to the high complexity of genomic data, AI techniques are increasingly needed to help reduce this and aid the a...
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 32655
- Neural Networks, Computer 30545
- Algorithms 27797
- Deep Learning 27357
- Artificial Intelligence 25287
- Robotics 13443
- Image Processing, Computer-Assisted 9910
- Retrospective Studies 9561
- Magnetic Resonance Imaging 6493
- Reproducibility of Results 5753
- Tomography, X-Ray Computed 4970
- Support Vector Machine 4827
- Computational Biology 4407
- Brain 4196
- Computer Simulation 3970
Recent Journals
- Scientific reports 9611
- PloS one 4878
- Sensors (Basel, Switzerland) 4794
- Neural networks : the official journal of the International Neural Network Society 3053
- Computers in biology and medicine 2084
- Computational intelligence and neuroscience 1931
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1395
- Nature communications 1331
- IEEE journal of biomedical and health informatics 1311
- Journal of chemical information and modeling 1280
- Journal of medical Internet research 1009
- IEEE transactions on neural networks and learning systems 927
- Bioinformatics (Oxford, England) 911
- Computer methods and programs in biomedicine 896