AIMC Topic: Reproducibility of Results

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Signal identification system for developing rehabilitative device using deep learning algorithms.

Artificial intelligence in medicine Nov 8, 2019
Paralyzed patients were increasing day by day. Some of the neurodegenerative diseases like amyotrophic lateral sclerosis, Brainstem Leison, Stupor and Muscular dystrophy affect the muscle movements in the body. The affected persons were unable to mig...
Young Adult Adult Male Aging Eye Movements Humans Brain-Computer Interfaces Deep Learning Algorithms Equipment Design Electrooculography Female Signal Processing, Computer-Assisted Self-Help Devices Reproducibility of Results Electrodes Rehabilitation Healthy Volunteers
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Classification of DNA damages on segmented comet assay images using convolutional neural network.

Computer methods and programs in biomedicine Nov 6, 2019
BACKGROUND AND OBJECTIVE: Identification and quantification of DNA damage is a very significant subject in biomedical research area which still needs more robust and effective methods. One of the cheapest, easy to use and most successful method for D...
Image Processing, Computer-Assisted DNA Damage Lymphocytes Comet Assay Humans Neural Networks, Computer Algorithms Reproducibility of Results
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Clear cell renal cell carcinoma: Machine learning-based computed tomography radiomics analysis for the prediction of WHO/ISUP grade.

European journal of radiology Nov 6, 2019
PURPOSE: To evaluate the performance of machine learning (ML)-based computed tomography (CT) radiomics analysis for discriminating between low grade (WHO/ISUP I-II) and high grade (WHO/ISUP III-IV) clear cell renal cell carcinomas (ccRCCs).
Humans Machine Learning Algorithms Retrospective Studies Tomography, X-Ray Computed Female Diagnosis, Differential Predictive Value of Tests Neoplasm Grading Image Interpretation, Computer-Assisted Kidney Neoplasms Reproducibility of Results Male Carcinoma, Renal Cell Aged Middle Aged Aged, 80 and over Kidney Young Adult Logistic Models Adult Support Vector Machine
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Computer-assisted assessment of colonic polyp histopathology using probe-based confocal laser endomicroscopy.

International journal of colorectal disease Nov 6, 2019
INTRODUCTION: Probe-based confocal laser endomicroscopy (pCLE) is a promising modality for classifying polyp histology in vivo, but decision making in real-time is hampered by high-magnification targeting and by the learning curve for image interpret...
Machine Learning Female Reproducibility of Results Aged Aged, 80 and over Humans Microscopy, Confocal Predictive Value of Tests Feasibility Studies Colonic Neoplasms Tumor Burden Male Middle Aged Colonoscopy Diagnosis, Computer-Assisted Clinical Competence Colonic Polyps Image Interpretation, Computer-Assisted Observer Variation
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Spatiotemporal dengue fever hotspots associated with climatic factors in Taiwan including outbreak predictions based on machine-learning.

Geospatial health Nov 6, 2019
Early warning systems (EWS) have been proposed as a measure for controlling and preventing dengue fever outbreaks in countries where this infection is endemic. A vaccine is not available and has yet to reach the market due to the economic burden of d...
Geographic Information Systems Spatio-Temporal Analysis Taiwan Climate Dengue Machine Learning Temperature Reproducibility of Results Risk Factors Disease Outbreaks Humans
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SpCas9 activity prediction by DeepSpCas9, a deep learning-based model with high generalization performance.

Science advances Nov 6, 2019
We evaluated SpCas9 activities at 12,832 target sequences using a high-throughput approach based on a human cell library containing single-guide RNA-encoding and target sequence pairs. Deep learning-based training on this large dataset of SpCas9-indu...
Internet Gene Editing RNA, Guide, CRISPR-Cas Systems CRISPR-Associated Protein 9 Humans Reproducibility of Results Deep Learning CRISPR-Cas Systems Mutation
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A method for the automated classification of benign and malignant masses on digital breast tomosynthesis images using machine learning and radiomic features.

Radiological physics and technology Nov 4, 2019
In digital mammography, which is used for the early detection of breast tumors, oversight may occur due to overlap between normal tissues and lesions. However, since digital breast tomosynthesis can acquire three-dimensional images, tissue overlappin...
ROC Curve Image Processing, Computer-Assisted Support Vector Machine Mammography Algorithms Humans Bayes Theorem Radiographic Image Interpretation, Computer-Assisted Female Machine Learning Reproducibility of Results Breast Neoplasms Breast Pattern Recognition, Automated False Positive Reactions Diagnosis, Computer-Assisted
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White blood cells detection and classification based on regional convolutional neural networks.

Medical hypotheses Nov 4, 2019
White blood cells (WBC) are important parts of our immune system and they protect our body against infections by eliminating viruses, bacteria, parasites and fungi. There are five types of WBC. These are called Lymphocytes, Monocytes, Eosinophils, Ba...
Leukocytes Eosinophils Lymphocytes Pattern Recognition, Automated Diagnosis, Computer-Assisted Deep Learning Image Processing, Computer-Assisted Monocytes Neutrophils Humans Neural Networks, Computer Software Algorithms Reproducibility of Results Sensitivity and Specificity
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Machine Learning to Predict Anti-Tumor Necrosis Factor Drug Responses of Rheumatoid Arthritis Patients by Integrating Clinical and Genetic Markers.

Arthritis & rheumatology (Hoboken, N.J.) Nov 4, 2019
OBJECTIVE: Accurate prediction of treatment responses in rheumatoid arthritis (RA) patients can provide valuable information on effective drug selection. Anti-tumor necrosis factor (anti-TNF) drugs are an important second-line treatment after methotr...
Middle Aged Severity of Illness Index Arthritis, Rheumatoid Polymorphism, Single Nucleotide Treatment Outcome Machine Learning Adalimumab Regression Analysis Tumor Necrosis Factor-alpha Normal Distribution Outcome Assessment, Health Care Predictive Value of Tests Female Humans Antirheumatic Agents Infliximab Etanercept Certolizumab Pegol Genetic Markers Methotrexate Reproducibility of Results Male
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Resting-State Functional Network Scale Effects and Statistical Significance-Based Feature Selection in Machine Learning Classification.

Computational and mathematical methods in medicine Nov 4, 2019
In recent years, functional brain network topological features have been widely used as classification features. Previous studies have found that network node scale differences caused by different network parcellation definitions significantly affect...
Nerve Net Middle Aged Female Magnetic Resonance Imaging Depressive Disorder, Major Humans Cluster Analysis Diagnosis, Computer-Assisted Reproducibility of Results Neural Networks, Computer Brain Mapping Adolescent Young Adult Machine Learning Medical Informatics Support Vector Machine Adult Algorithms Pattern Recognition, Automated Male Brain
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