AIMC Topic: Humans

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A deep learning model (ALNet) for the diagnosis of acute leukaemia lineage using peripheral blood cell images.

Computer methods and programs in biomedicine Feb 12, 2021
BACKGROUND AND OBJECTIVES: Morphological differentiation among blasts circulating in blood in acute leukaemia is challenging. Artificial intelligence decision support systems hold substantial promise as part of clinical practise in detecting haematol...
Blood Cells Humans Neural Networks, Computer Artificial Intelligence Leukemia, Myeloid, Acute Deep Learning
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Structural protein fold recognition based on secondary structure and evolutionary information using machine learning algorithms.

Computational biology and chemistry Feb 12, 2021
Understanding the function of protein is conducive to research in advanced fields such as gene therapy of diseases, the development and design of new drugs, etc. The prerequisite for understanding the function of a protein is to determine its tertiar...
Machine Learning Algorithms Databases, Protein Humans Amino Acid Sequence Protein Structure, Secondary Protein Folding
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A computer-aided approach for automatic detection of breast masses in digital mammogram via spectral clustering and support vector machine.

Physical and engineering sciences in medicine Feb 12, 2021
Breast cancer continues to be a widespread health concern all over the world. Mammography is an important method in the early detection of breast abnormalities. In recent years, using an automatic Computer-Aided Detection (CAD) system based on image ...
Breast Humans Cluster Analysis Computers Mammography Support Vector Machine
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Machine Learning-Derived Fractal Features of Shape and Texture of the Left Atrium and Pulmonary Veins From Cardiac Computed Tomography Scans Are Associated With Risk of Recurrence of Atrial Fibrillation Postablation.

Circulation. Arrhythmia and electrophysiology Feb 12, 2021
[Figure: see text].
Male Middle Aged Risk Assessment Female Risk Factors Radiographic Image Interpretation, Computer-Assisted Atrial Fibrillation Heart Atria Treatment Outcome Action Potentials Predictive Value of Tests Pulmonary Veins Humans Machine Learning Retrospective Studies Recurrence Tomography, X-Ray Computed Atrial Function, Left Fractals Heart Rate Catheter Ablation
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Machine learning improves early prediction of small-for-gestational-age births and reveals nuchal fold thickness as unexpected predictor.

Prenatal diagnosis Feb 12, 2021
OBJECTIVE: To investigate the performance of the machine learning (ML) model in predicting small-for-gestational-age (SGA) at birth, using second-trimester data.
Singapore Gestational Age Nuchal Translucency Measurement Humans Male Machine Learning Logistic Models Predictive Value of Tests Retrospective Studies Female Infant, Newborn Infant, Small for Gestational Age
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Technical Note: An embedding-based medical note de-identification approach with sparse annotation.

Medical physics Feb 12, 2021
PURPOSE: Medical note de-identification is critical for the protection of private information and the security of data sharing in collaborative research. The task demands the complete removal of all patient names and other sensitive information such ...
Sensitivity and Specificity Natural Language Processing Data Anonymization Humans Electronic Health Records
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EMG-Based 3D Hand Motor Intention Prediction for Information Transfer from Human to Robot.

Sensors (Basel, Switzerland) Feb 12, 2021
(1) Background: Three-dimensional (3-D) hand position is one of the kinematic parameters that can be inferred from Electromyography (EMG) signals. The inferred parameter is used as a communication channel in human-robot collaboration applications. Al...
Movement Hand Humans Electromyography Robotics Intention
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Ultraviolet disinfection robots to improve hospital cleaning: Real promise or just a gimmick?

Antimicrobial resistance and infection control Feb 12, 2021
The global COVID-19 pandemic due to the novel coronavirus SARS-CoV-2 has challenged the availability of traditional surface disinfectants. It has also stimulated the production of ultraviolet-disinfection robots by companies and institutions. These r...
COVID-19 SARS-CoV-2 Hospitals Robotics Disinfection Ultraviolet Rays Humans Pandemics Disinfectants
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User training for machine learning controlled upper limb prostheses: a serious game approach.

Journal of neuroengineering and rehabilitation Feb 12, 2021
BACKGROUND: Upper limb prosthetics with multiple degrees of freedom (DoFs) are still mostly operated through the clinical standard Direct Control scheme. Machine learning control, on the other hand, allows controlling multiple DoFs although it requir...
Video Games Male Hand Strength Machine Learning Hand Female Electromyography Adult Humans Artificial Limbs Exercise Therapy
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Predictive Analytics for Care and Management of Patients With Acute Diseases: Deep Learning-Based Method to Predict Crucial Complication Phenotypes.

Journal of medical Internet research Feb 12, 2021
BACKGROUND: Acute diseases present severe complications that develop rapidly, exhibit distinct phenotypes, and have profound effects on patient outcomes. Predictive analytics can enhance physicians' care and management of patients with acute diseases...
Deep Learning Acute Disease Neural Networks, Computer Research Design Phenotype Humans
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