AIMC Topic: Humans

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Machine learning models to predict disease progression among veterans with hepatitis C virus.

PloS one Jan 4, 2019
BACKGROUND: Machine learning (ML) algorithms provide effective ways to build prediction models using longitudinal information given their capacity to incorporate numerous predictor variables without compromising the accuracy of the risk prediction. C...
Hepatitis C, Chronic Male Proportional Hazards Models Middle Aged Veterans Disease Progression Models, Theoretical Humans Machine Learning
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Machine learning-based radiomic models to predict intensity-modulated radiation therapy response, Gleason score and stage in prostate cancer.

La Radiologia medica Jan 3, 2019
OBJECTIVE: To develop different radiomic models based on the magnetic resonance imaging (MRI) radiomic features and machine learning methods to predict early intensity-modulated radiation therapy (IMRT) response, Gleason scores (GS) and prostate canc...
Aged Aged, 80 and over Male Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Predictive Value of Tests Humans Radiotherapy, Intensity-Modulated Middle Aged Machine Learning Prostatic Neoplasms Treatment Outcome Prospective Studies Neoplasm Staging Neoplasm Grading
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Clinical intelligence: New machine learning techniques for predicting clinical drug response.

Computers in biology and medicine Jan 3, 2019
Predicting the response, or sensitivity, of a clinical drug to a specific cancer type is an important research problem. By predicting the clinical drug response correctly, clinicians are able to understand patient-to-patient differences in drug sensi...
Antineoplastic Agents Databases, Factual Humans Gene Expression Profiling Neoplasms Computational Biology Machine Learning Drug Discovery Clinical Trials as Topic Decision Support Systems, Clinical High-Throughput Screening Assays Algorithms
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Computer-assisted medical image classification for early diagnosis of oral cancer employing deep learning algorithm.

Journal of cancer research and clinical oncology Jan 3, 2019
PURPOSE: Oral cancer is a complex wide spread cancer, which has high severity. Using advanced technology and deep learning algorithm early detection and classification are made possible. Medical imaging technique, computer-aided diagnosis and detecti...
Image Processing, Computer-Assisted Early Detection of Cancer Humans Mouth Neoplasms Algorithms Deep Learning
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Apps, Avatars, and Robots: The Future of Mental Healthcare.

Issues in mental health nursing Jan 3, 2019
From artificial intelligence, predictive analytics and biometric sensors, to advanced robotics, virtual reality and mobile applications, rapid advances in technology are transforming the design, delivery and experience of mental healthcare. This pape...
Mobile Applications Mental Health Services Robotics Telemedicine Humans Virtual Reality
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A Deep Learning-Based Approach to Reduce Rescan and Recall Rates in Clinical MRI Examinations.

AJNR. American journal of neuroradiology Jan 3, 2019
BACKGROUND AND PURPOSE: MR imaging rescans and recalls can create large hospital revenue loss. The purpose of this study was to develop a fast, automated method for assessing rescan need in motion-corrupted brain series.
Neuroimaging Humans Brain Female Deep Learning Image Interpretation, Computer-Assisted Male Magnetic Resonance Imaging Artifacts
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Embracing simplexity: the role of artificial intelligence in peri-procedural medical safety.

Expert review of medical devices Jan 3, 2019
Physicians General Surgery Practice Guidelines as Topic Equipment Safety Humans Artificial Intelligence Algorithms
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Robust Single-Sample Face Recognition by Sparsity-Driven Sub-Dictionary Learning Using Deep Features.

Sensors (Basel, Switzerland) Jan 3, 2019
Face recognition using a single reference image per subject is challenging, above all when referring to a large gallery of subjects. Furthermore, the problem hardness seriously increases when the images are acquired in unconstrained conditions. In th...
Image Processing, Computer-Assisted Humans Pattern Recognition, Automated Biometric Identification Algorithms Databases, Factual Deep Learning Facial Recognition
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Myoelectric control algorithm for robot-assisted therapy: a hardware-in-the-loop simulation study.

Biomedical engineering online Jan 3, 2019
BACKGROUND: A direct blow to the knee is one way to injure the anterior cruciate ligament (ACL), e.g., during a football or traffic accident. Robot-assisted therapy (RAT) rehabilitation, simulating regular walking, improves walking and balance abilit...
Healthy Volunteers Calibration Movement Knee Joint Electrodes Exercise Therapy Anterior Cruciate Ligament Injuries Biomechanical Phenomena Male Middle Aged Signal Processing, Computer-Assisted Electromyography Robotics Equipment Design Computer Simulation Young Adult Adult Humans Algorithms
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Segmentation of lung parenchyma in CT images using CNN trained with the clustering algorithm generated dataset.

Biomedical engineering online Jan 3, 2019
BACKGROUND: Lung segmentation constitutes a critical procedure for any clinical-decision supporting system aimed to improve the early diagnosis and treatment of lung diseases. Abnormal lungs mainly include lung parenchyma with commonalities on CT ima...
Radiographic Image Interpretation, Computer-Assisted Humans Data Collection Neural Networks, Computer False Positive Reactions Machine Learning ROC Curve Image Processing, Computer-Assisted Cluster Analysis Reproducibility of Results Lung Algorithms Tomography, X-Ray Computed
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