AIMC Topic: Reproducibility of Results

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Radiomics in radiation oncology-basics, methods, and limitations.

Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] Jul 9, 2020
Over the past years, the quantity and complexity of imaging data available for the clinical management of patients with solid tumors has increased substantially. Without the support of methods from the field of artificial intelligence (AI) and machin...
Computational Biology Radiation Oncology Workflow Radiotherapy Planning, Computer-Assisted Brain Neoplasms Datasets as Topic Humans Deep Learning Neuroimaging Artificial Intelligence Imaging, Three-Dimensional Reproducibility of Results Image Processing, Computer-Assisted
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Rage Against the Machine: Advancing the study of aggression ethology via machine learning.

Psychopharmacology Jul 9, 2020
RATIONALE: Aggression, comorbid with neuropsychiatric disorders, exhibits with diverse clinical presentations and places a significant burden on patients, caregivers, and society. This diversity is observed because aggression is a complex behavior th...
Social Behavior Reproducibility of Results Aggression Animals Ethology Humans Mice Machine Learning Reward
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Interactive machine learning for soybean seed and seedling quality classification.

Scientific reports Jul 9, 2020
New computer vision solutions combined with artificial intelligence algorithms can help recognize patterns in biological images, reducing subjectivity and optimizing the analysis process. The aim of this study was to propose an approach based on inte...
Image Processing, Computer-Assisted Seeds Principal Component Analysis Germination Seedlings False Positive Reactions Glycine max Machine Learning Software Algorithms Reproducibility of Results Artificial Intelligence
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Diagnostic performance of fetal intelligent navigation echocardiography (FINE) in fetuses with double-outlet right ventricle (DORV).

The international journal of cardiovascular imaging Jul 8, 2020
The main objective of this study was to investigate the diagnostic performance of FINE in generating and displaying 3 specific abnormal fetal echocardiography views such as left ventricular outflow tract (LVOT) view, right ventricular outflow tract (...
Humans Diagnosis, Computer-Assisted Predictive Value of Tests Anatomic Landmarks Image Interpretation, Computer-Assisted Young Adult Fetal Heart Artificial Intelligence Adult Echocardiography, Four-Dimensional Pregnancy Gestational Age Ultrasonography, Prenatal Female Spatio-Temporal Analysis Double Outlet Right Ventricle Reproducibility of Results
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Machine Learning to Classify Intracardiac Electrical Patterns During Atrial Fibrillation: Machine Learning of Atrial Fibrillation.

Circulation. Arrhythmia and electrophysiology Jul 6, 2020
BACKGROUND: Advances in ablation for atrial fibrillation (AF) continue to be hindered by ambiguities in mapping, even between experts. We hypothesized that convolutional neural networks (CNN) may enable objective analysis of intracardiac activation i...
Aged Male Middle Aged Diagnosis, Computer-Assisted Humans Neural Networks, Computer Female Reproducibility of Results Signal Processing, Computer-Assisted Registries Atrial Fibrillation Heart Rate Pattern Recognition, Automated Time Factors Support Vector Machine Action Potentials Predictive Value of Tests Atrial Function, Left Electrophysiologic Techniques, Cardiac Atrial Function, Right
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Artificial Intelligence and Machine Learning in Arrhythmias and Cardiac Electrophysiology.

Circulation. Arrhythmia and electrophysiology Jul 6, 2020
Artificial intelligence (AI) and machine learning (ML) in medicine are currently areas of intense exploration, showing potential to automate human tasks and even perform tasks beyond human capabilities. Literacy and understanding of AI/ML methods are...
Heart Rate Electrophysiologic Techniques, Cardiac Diagnosis, Computer-Assisted Deep Learning Electrocardiography Artificial Intelligence Predictive Value of Tests Humans Action Potentials Machine Learning Signal Processing, Computer-Assisted Prognosis Heart Conduction System Reproducibility of Results Arrhythmias, Cardiac
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Pupil Localisation and Eye Centre Estimation Using Machine Learning and Computer Vision.

Sensors (Basel, Switzerland) Jul 6, 2020
Various methods have been used to estimate the pupil location within an image or a real-time video frame in many fields. However, these methods lack the performance specifically in low-resolution images and varying background conditions. We propose a...
Reproducibility of Results Pupil Artificial Intelligence Machine Learning Algorithms Humans Computers
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Improving the accuracy of gastrointestinal neuroendocrine tumor grading with deep learning.

Scientific reports Jul 6, 2020
The Ki-67 index is an established prognostic factor in gastrointestinal neuroendocrine tumors (GI-NETs) and defines tumor grade. It is currently estimated by microscopically examining tumor tissue single-immunostained (SS) for Ki-67 and counting the ...
Deep Learning Neoplasm Grading Gastrointestinal Neoplasms Observer Variation Immunohistochemistry Synaptophysin Neuroendocrine Tumors Ki-67 Antigen Humans Reproducibility of Results
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Embryo Ranking Intelligent Classification Algorithm (ERICA): artificial intelligence clinical assistant predicting embryo ploidy and implantation.

Reproductive biomedicine online Jul 5, 2020
RESEARCH QUESTION: Can a deep machine learning artificial intelligence algorithm predict ploidy and implantation in a known data set of static blastocyst images, and how does its performance compare against chance and experienced embryologists?
Embryo Transfer Pregnancy Ploidies Humans Female Pregnancy Rate Algorithms Reproducibility of Results Fertilization in Vitro Databases, Factual Deep Learning Embryo Implantation Prognosis
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Ischemia and outcome prediction by cardiac CT based machine learning.

The international journal of cardiovascular imaging Jul 4, 2020
Cardiac CT using non-enhanced coronary artery calcium scoring (CACS) and coronary CT angiography (cCTA) has been proven to provide excellent evaluation of coronary artery disease (CAD) combining anatomical and morphological assessment of CAD for card...
Prognosis Reproducibility of Results Risk Assessment Severity of Illness Index Humans Machine Learning Heart Disease Risk Factors Predictive Value of Tests Plaque, Atherosclerotic Coronary Vessels Vascular Calcification Coronary Angiography Computed Tomography Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease
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