AIMC Topic: Humans

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Exploring Active Learning Based on Representativeness and Uncertainty for Biomedical Data Classification.

IEEE journal of biomedical and health informatics Nov 13, 2018
Nowadays, there is an abundance of biomedical data, such as images and genetic sequences, among others. However, there is a lack of annotation to such volume of data, due to the high costs involved to perform this task. Thus, it is mandatory to devel...
Algorithms Databases, Factual Neoplasms Diagnosis, Computer-Assisted Medical Informatics Knowledge Discovery Humans Machine Learning
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Surgical trainee impact on bariatric surgery safety.

Surgical endoscopy Nov 13, 2018
BACKGROUND: Roux-en-Y-gastric bypass (RYGB) and sleeve gastrectomy (SG) are commonly performed bariatric procedures that are associated with a significant learning curve. The effect of surgeon experience on perioperative outcomes and safety is establ...
Adult Male Robotics Humans Retrospective Studies Female Learning Curve Obesity, Morbid General Surgery Education, Medical, Graduate Laparoscopy Bariatric Surgery
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Enhanced Point-of-Care Ultrasound Applications by Integrating Automated Feature-Learning Systems Using Deep Learning.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine Nov 13, 2018
Recent applications of artificial intelligence (AI) and deep learning (DL) in health care include enhanced diagnostic imaging modalities to support clinical decisions and improve patients' outcomes. Focused on using automated DL-based systems to impr...
Point-of-Care Systems Deep Learning Ultrasonography Humans
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Neural network modelling of soft tissue deformation for surgical simulation.

Artificial intelligence in medicine Nov 13, 2018
This paper presents a new neural network methodology for modelling of soft tissue deformation for surgical simulation. The proposed methodology formulates soft tissue deformation and its dynamics as the neural propagation and dynamics of cellular neu...
Bioelectric Energy Sources Computer Simulation Humans Connective Tissue Neural Networks, Computer Models, Biological Surgical Procedures, Operative
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Splenomegaly Segmentation on Multi-Modal MRI Using Deep Convolutional Networks.

IEEE transactions on medical imaging Nov 13, 2018
The findings of splenomegaly, abnormal enlargement of the spleen, is a non-invasive clinical biomarker for liver and spleen diseases. Automated segmentation methods are essential to efficiently quantify splenomegaly from clinically acquired abdominal...
Splenomegaly Magnetic Resonance Imaging Humans Image Interpretation, Computer-Assisted Neural Networks, Computer Spleen Imaging, Three-Dimensional
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Simultaneous NODDI and GFA parameter map generation from subsampled q-space imaging using deep learning.

Magnetic resonance in medicine Nov 13, 2018
PURPOSE: To develop a robust multidimensional deep-learning based method to simultaneously generate accurate neurite orientation dispersion and density imaging (NODDI) and generalized fractional anisotropy (GFA) parameter maps from undersampled q-spa...
Anisotropy Diffusion Magnetic Resonance Imaging Deep Learning Imaging, Three-Dimensional Treatment Outcome Stroke Brain Ischemia Neurites Humans Neural Networks, Computer Aged Male Algorithms Middle Aged Brain Female Prognosis Reproducibility of Results
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Machine-learning-derived sleep-wake staging from around-the-ear electroencephalogram outperforms manual scoring and actigraphy.

Journal of sleep research Nov 13, 2018
Quantification of sleep is important for the diagnosis of sleep disorders and sleep research. However, the only widely accepted method to obtain sleep staging is by visual analysis of polysomnography (PSG), which is expensive and time consuming. Here...
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Humans Machine Learning Female Actigraphy Sleep Wake Disorders Sleep Stages Adult Male Electroencephalography
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Role of the Medical Physicist in the Health Care Artificial Intelligence Revolution.

Journal of the American College of Radiology : JACR Nov 13, 2018
Health Physics Humans Artificial Intelligence Diagnostic Imaging Professional Role
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Prediction of early metastatic disease in experimental breast cancer bone metastasis by combining PET/CT and MRI parameters to a Model-Averaged Neural Network.

Bone Nov 13, 2018
Macrometastases in bone are preceded by bone marrow invasion of disseminated tumor cells. This study combined functional imaging parameters from FDG-PET/CT and MRI in a rat model of breast cancer bone metastases to a Model-averaged Neural Network (av...
Tumor Burden Neural Networks, Computer Female Positron Emission Tomography Computed Tomography Animals Cell Line, Tumor Magnetic Resonance Imaging Models, Biological ROC Curve Bone Neoplasms Rats Humans Mammary Neoplasms, Experimental
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A neural microcircuit model for a scalable scale-invariant representation of time.

Hippocampus Nov 13, 2018
Scale-invariant timing has been observed in a wide range of behavioral experiments. The firing properties of recently described time cells provide a possible neural substrate for scale-invariant behavior. Earlier neural circuit models do not produce ...
Models, Neurological Humans Neural Networks, Computer Neurons Time Perception Brain Animals Models, Theoretical
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