AIMC Topic: Male

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Deep Learning Approach for Imputation of Missing Values in Actigraphy Data: Algorithm Development Study.

JMIR mHealth and uHealth Jul 23, 2020
BACKGROUND: Data collected by an actigraphy device worn on the wrist or waist can provide objective measurements for studies related to physical activity; however, some data may contain intervals where values are missing. In previous studies, statist...
Adult Male Middle Aged Deep Learning Actigraphy Humans Algorithms Female
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Parkinson's disease detection from 20-step walking tests using inertial sensors of a smartphone: Machine learning approach based on an observational case-control study.

PloS one Jul 23, 2020
Parkinson's disease (PD) is a neurodegenerative disease inducing dystrophy of the motor system. Automatic movement analysis systems have potential in improving patient care by enabling personalized and more accurate adjust of treatment. These systems...
Smartphone Male Exercise Test Support Vector Machine Middle Aged Parkinson Disease Walking Case-Control Studies Signal Processing, Computer-Assisted Statistics as Topic Humans Cohort Studies Machine Learning Female Aged
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Preoperative prediction for pathological grade of hepatocellular carcinoma via machine learning-based radiomics.

European radiology Jul 22, 2020
OBJECTIVE: To investigate the efficacy of contrast-enhanced computed tomography (CECT)-based radiomics signatures for preoperative prediction of pathological grades of hepatocellular carcinoma (HCC) via machine learning.
Humans Machine Learning Retrospective Studies Tomography, X-Ray Computed Female Reproducibility of Results Aged Area Under Curve Diagnosis, Computer-Assisted ROC Curve Liver Neoplasms Carcinoma, Hepatocellular Image Processing, Computer-Assisted Adult Sensitivity and Specificity Male Middle Aged
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Using intravascular ultrasound image-based fluid-structure interaction models and machine learning methods to predict human coronary plaque vulnerability change.

Computer methods in biomechanics and biomedical engineering Jul 22, 2020
Plaque vulnerability prediction is of great importance in cardiovascular research. In vivo follow-up intravascular ultrasound (IVUS) coronary plaque data were acquired from nine patients to construct fluid-structure interaction models to obtain plaqu...
Plaque, Atherosclerotic Models, Cardiovascular Coronary Angiography Ultrasonography, Interventional Linear Models Coronary Vessels ROC Curve Risk Factors Imaging, Three-Dimensional Biomechanical Phenomena Support Vector Machine Male Area Under Curve Middle Aged Humans Ultrasonography Machine Learning Female
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Use of AI-based tools for healthcare purposes: a survey study from consumers' perspectives.

BMC medical informatics and decision making Jul 22, 2020
BACKGROUND: Several studies highlight the effects of artificial intelligence (AI) systems on healthcare delivery. AI-based tools may improve prognosis, diagnostics, and care planning. It is believed that AI will be an integral part of healthcare serv...
Male Middle Aged Surveys and Questionnaires Decision Support Systems, Clinical United States Delivery of Health Care Humans Female Health Facilities Artificial Intelligence Young Adult Adult
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Discrimination between transient and persistent subsolid pulmonary nodules on baseline CT using deep transfer learning.

European radiology Jul 21, 2020
OBJECTIVES: To develop and validate a deep learning model to discriminate transient from persistent subsolid nodules (SSNs) on baseline CT.
Radiologists Calibration Lung Neoplasms Solitary Pulmonary Nodule Area Under Curve Radiology Middle Aged Lung Deep Learning Image Processing, Computer-Assisted Humans Retrospective Studies Tomography, X-Ray Computed Female Reproducibility of Results Aged Adult Male
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Diffusion Histology Imaging Combining Diffusion Basis Spectrum Imaging (DBSI) and Machine Learning Improves Detection and Classification of Glioblastoma Pathology.

Clinical cancer research : an official journal of the American Association for Cancer Research Jul 21, 2020
PURPOSE: Glioblastoma (GBM) is one of the deadliest cancers with no cure. While conventional MRI has been widely adopted to examine GBM clinically, accurate neuroimaging assessment of tumor histopathology for improved diagnosis, surgical planning, an...
Middle Aged Glioblastoma Diffusion Magnetic Resonance Imaging Humans Machine Learning Algorithms Female Aged Adult Male
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Radiogenomics for predicting p53 status, PD-L1 expression, and prognosis with machine learning in pancreatic cancer.

British journal of cancer Jul 21, 2020
BACKGROUND: Radiogenomics is an emerging field that integrates "Radiomics" and "Genomics". In the current study, we aimed to predict the genetic information of pancreatic tumours in a simple, inexpensive, and non-invasive manner, using cancer imaging...
Pancreatic Neoplasms Mutation Carcinoma, Pancreatic Ductal Humans Tumor Suppressor Protein p53 Machine Learning Immunohistochemistry Prognosis Aged, 80 and over Retrospective Studies Male Tomography, X-Ray Computed Middle Aged Female Imaging Genomics B7-H1 Antigen Aged
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Deep Learning-based Automatic Detection Algorithm for Reducing Overlooked Lung Cancers on Chest Radiographs.

Radiology Jul 21, 2020
Background It is uncertain whether a deep learning-based automatic detection algorithm (DLAD) for identifying malignant nodules on chest radiographs will help diagnose lung cancers. Purpose To evaluate the efficacy of using a DLAD in observer perform...
Humans Algorithms Radiographic Image Interpretation, Computer-Assisted Radiography, Thoracic Middle Aged Lung Deep Learning Lung Neoplasms Retrospective Studies Female Aged Male
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Capsule networks as recurrent models of grouping and segmentation.

PLoS computational biology Jul 21, 2020
Classically, visual processing is described as a cascade of local feedforward computations. Feedforward Convolutional Neural Networks (ffCNNs) have shown how powerful such models can be. However, using visual crowding as a well-controlled challenge, ...
Neural Networks, Computer Algorithms Computer Simulation Female Reproducibility of Results Humans Vision, Ocular Normal Distribution Pattern Recognition, Visual Male Image Processing, Computer-Assisted Computational Biology Models, Biological
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