AIMC Topic: Humans

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A Bayesian Shared Control Approach for Wheelchair Robot With Brain Machine Interface.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Dec 6, 2019
To enhance the performance of the brain-actuated robot system, a novel shared controller based on Bayesian approach is proposed for intelligently combining robot automatic control and brain-actuated control, which takes into account the uncertainty o...
Wheelchairs Evoked Potentials, Somatosensory Algorithms Young Adult Adult Biomechanical Phenomena Humans Brain-Computer Interfaces Evoked Potentials, Visual Electroencephalography Psychomotor Performance Male Robotics Bayes Theorem
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Nucleus and cytoplasm-based segmentation and actor-critic neural network for acute lymphocytic leukaemia detection in single cell blood smear images.

Medical & biological engineering & computing Dec 6, 2019
Acute lymphoblastic leukaemia (ALL), which is due to the malfunctioning in the bone marrow, is common among people all over the world. The haematologist suffers a lot to discriminate the presence of leukaemia in the patients using the blood smears. T...
Entropy Fuzzy Logic Cell Nucleus Precursor Cell Lymphoblastic Leukemia-Lymphoma Reproducibility of Results Image Processing, Computer-Assisted Neural Networks, Computer Algorithms Humans
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A Deep Learning Framework for Design and Analysis of Surgical Bioprosthetic Heart Valves.

Scientific reports Dec 6, 2019
Bioprosthetic heart valves (BHVs) are commonly used as heart valve replacements but they are prone to fatigue failure; estimating their remaining life directly from medical images is difficult. Analyzing the valve performance can provide better guida...
Prosthesis Failure Bioprosthesis Heart Valves Heart Valve Prosthesis Finite Element Analysis Models, Cardiovascular Biomechanical Phenomena Computer-Aided Design Deep Learning Feasibility Studies Heart Valve Prosthesis Implantation Image Processing, Computer-Assisted Prosthesis Design Humans Decision Support Techniques Tomography, X-Ray Computed
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Identifying pseudoenzymes using functional annotation: pitfalls of common practice.

The FEBS journal Dec 5, 2019
Pseudoenzymes are proteins that are evolutionary related to enzymes but lack relevant catalytic activity. They are usually evolved from enzymatic ancestors that have lost their catalytic activities. The loss of catalytic function is one extreme among...
Proteins Knowledge Bases Molecular Sequence Annotation Enzymes Humans
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Convolutional Neural Network Detection of Axillary Lymph Node Metastasis Using Standard Clinical Breast MRI.

Clinical breast cancer Dec 5, 2019
BACKGROUND: Axillary lymph node status is important for breast cancer staging and treatment planning as the majority of breast cancer metastasis spreads through the axillary lymph nodes. There is currently no reliable noninvasive imaging method to de...
Sentinel Lymph Node Positron-Emission Tomography Datasets as Topic Fluorodeoxyglucose F18 Image Processing, Computer-Assisted Lymphatic Metastasis Magnetic Resonance Imaging Feasibility Studies Radiopharmaceuticals Axilla Anatomic Landmarks Reproducibility of Results Breast Neoplasms ROC Curve Humans Neural Networks, Computer Female
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Your evidence? Machine learning algorithms for medical diagnosis and prediction.

Human brain mapping Dec 5, 2019
Computer systems for medical diagnosis based on machine learning are not mere science fiction. Despite undisputed potential benefits, such systems may also raise problems. Two (interconnected) issues are particularly significant from an ethical point...
Machine Learning Algorithms Diagnosis, Computer-Assisted Magnetic Resonance Imaging Humans Artificial Intelligence Confidentiality Evidence-Based Medicine
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Comparing deep learning-based auto-segmentation of organs at risk and clinical target volumes to expert inter-observer variability in radiotherapy planning.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Dec 5, 2019
BACKGROUND: Deep learning-based auto-segmented contours (DC) aim to alleviate labour intensive contouring of organs at risk (OAR) and clinical target volumes (CTV). Most previous DC validation studies have a limited number of expert observers for com...
Radiotherapy Planning, Computer-Assisted Observer Variation Male Humans Deep Learning Head and Neck Neoplasms Organs at Risk
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Predictive models for patients with lung carcinomas to identify EGFR mutation status via an artificial neural network based on multiple clinical information.

Journal of cancer research and clinical oncology Dec 5, 2019
PURPOSE: Epidermal growth factor receptor (EGFR) mutation testing has several limitations. Therefore, we built predictive models to determine the EGFR mutation status of patients and guide therapeutic decision-making.
Decision Making, Computer-Assisted Female Aged Male Mutation ErbB Receptors Middle Aged Lung Neoplasms Humans Neural Networks, Computer
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Inter-foetus Membrane Segmentation for TTTS Using Adversarial Networks.

Annals of biomedical engineering Dec 5, 2019
Twin-to-Twin Transfusion Syndrome is commonly treated with minimally invasive laser surgery in fetoscopy. The inter-foetal membrane is used as a reference to find abnormal anastomoses. Membrane identification is a challenging task due to small field ...
Humans Fetofetal Transfusion Extraembryonic Membranes Minimally Invasive Surgical Procedures Pregnancy Models, Biological Female Laser Therapy Adult Neural Networks, Computer Image Processing, Computer-Assisted Databases, Factual Tomography, X-Ray Computed
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Development and validation of a risk prediction model to diagnose Barrett's oesophagus (MARK-BE): a case-control machine learning approach.

The Lancet. Digital health Dec 5, 2019
BACKGROUND: Screening for Barrett's Oesophagus (BE) relies on endoscopy which is invasive and has a low yield. This study aimed to develop and externally validate a simple symptom and risk-factor questionnaire to screen for patients with BE.
United Kingdom Barrett Esophagus Humans Machine Learning Forecasting Male Middle Aged Risk Assessment Case-Control Studies Prospective Studies Female Aged
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