AIMC Topic: Humans

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Digital hair segmentation using hybrid convolutional and recurrent neural networks architecture.

Computer methods and programs in biomedicine May 15, 2019
BACKGROUND AND OBJECTIVE: Skin melanoma is one of the major health problems in many countries. Dermatologists usually diagnose melanoma by visual inspection of moles. Digital hair removal can provide a non-invasive way to remove hair and hair-like re...
False Positive Reactions Hair Databases, Factual Melanoma Skin Neoplasms Humans Image Processing, Computer-Assisted Reproducibility of Results Neural Networks, Computer Skin Diagnosis, Computer-Assisted Algorithms Deep Learning Artifacts
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Intensive upper limb therapy including a robotic device after surgically repaired brachial plexus injury: a case study.

European journal of physical and rehabilitation medicine May 15, 2019
Rehabilitation Brachial Plexus Brachial Plexus Neuropathies Male Humans Robotics Adult Upper Extremity
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Robotics in Dental Implantology.

Oral and maxillofacial surgery clinics of North America May 15, 2019
Robotic surgery is no longer a fiction and its clinical applications are rapidly developing. Robotic surgery is increasingly used because of its minimal invasiveness. This article provides an overview of robotic surgery and its current applications i...
Dental Implants Robotics Robotic Surgical Procedures Clinical Competence Surgery, Computer-Assisted United States Humans
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Is artificial intelligence (AI) at the doorstep of Intensive Care Units (ICU) and operating room (OR)?

Anaesthesia, critical care & pain medicine May 15, 2019
Intensive Care Units Critical Care Intraoperative Care Operating Rooms Humans Artificial Intelligence
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Cascaded Tuning to Amplitude Modulation for Natural Sound Recognition.

The Journal of neuroscience : the official journal of the Society for Neuroscience May 15, 2019
The auditory system converts the physical properties of a sound waveform to neural activities and processes them for recognition. During the process, the tuning to amplitude modulation (AM) is successively transformed by a cascade of brain regions. T...
Models, Neurological Sound Auditory Perception Humans Neural Networks, Computer Brain
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A self-organized recurrent neural network for estimating the effective connectivity and its application to EEG data.

Computers in biology and medicine May 15, 2019
OBJECTIVE: Effective connectivity is an important notion in neuroscience research, useful for detecting the interactions between regions of the brain.
Neural Networks, Computer Brain Nerve Net Electroencephalography Humans Models, Neurological Electronic Data Processing Neural Pathways
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Automating Ischemic Stroke Subtype Classification Using Machine Learning and Natural Language Processing.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association May 15, 2019
OBJECTIVE: The manual adjudication of disease classification is time-consuming, error-prone, and limits scaling to large datasets. In ischemic stroke (IS), subtype classification is critical for management and outcome prediction. This study sought to...
Humans Machine Learning Electronic Health Records Female Reproducibility of Results Data Mining Aged Brain Ischemia Automation Pattern Recognition, Automated Aged, 80 and over Male Middle Aged Natural Language Processing Registries Stroke
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Artificial intelligence (AI) and cancer prevention: the potential application of AI in cancer control programming needs to be explored in population laboratories such as COMPASS.

Cancer causes & control : CCC May 15, 2019
Understanding the risk factors that initiate cancer is essential for reducing the future cancer burden. Much of our current cancer control insight is from cohort studies and newer large-scale population laboratories designed to advance the science ar...
Primary Prevention Algorithms Neoplasms Big Data Humans Artificial Intelligence
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Deep learning for liver tumor diagnosis part II: convolutional neural network interpretation using radiologic imaging features.

European radiology May 15, 2019
OBJECTIVES: To develop a proof-of-concept "interpretable" deep learning prototype that justifies aspects of its predictions from a pre-trained hepatic lesion classifier.
Humans Neural Networks, Computer Female Aged Adult Machine Learning Algorithms Retrospective Studies Predictive Value of Tests Image Interpretation, Computer-Assisted Bile Duct Neoplasms Proof of Concept Study Cholangiocarcinoma Bile Ducts, Intrahepatic Liver Neoplasms Carcinoma, Hepatocellular Magnetic Resonance Imaging Male Middle Aged Deep Learning
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Speeding Up the Line-Scan Raman Imaging of Living Cells by Deep Convolutional Neural Network.

Analytical chemistry May 15, 2019
Raman imaging is a promising technique that allows the spatial distribution of different components in the sample to be obtained using the molecular fingerprint information on individual species. However, the imaging speed is the bottleneck for the c...
Image Processing, Computer-Assisted Spectrum Analysis, Raman Humans Cell Line HeLa Cells Neural Networks, Computer Deep Learning
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