AIMC Topic: Reproducibility of Results

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Modeling Surgical Technical Skill Using Expert Assessment for Automated Computer Rating.

Annals of surgery Mar 1, 2019
OBJECTIVE: Computer vision was used to predict expert performance ratings from surgeon hand motions for tying and suturing tasks.
Humans Artificial Intelligence Algorithms Female Reproducibility of Results Hand Video Recording Observer Variation Task Performance and Analysis Suture Techniques Biomechanical Phenomena Male Clinical Competence Models, Theoretical
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A sparse deep learning model for privacy attack on remote sensing images.

Mathematical biosciences and engineering : MBE Feb 20, 2019
Deep learning tools have been a new way for privacy attacks on remote sensing images. However, since labeled data of privacy objects in remote sensing images are less, the samples for training are commonly small. Besides, traditional deep neural netw...
Neural Networks, Computer Software Algorithms Computer Simulation Remote Sensing Technology Privacy Reproducibility of Results Geographic Information Systems Deep Learning Image Processing, Computer-Assisted Data Interpretation, Statistical
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A modified comprehensive learning particle swarm optimizer and its application in cylindricity error evaluation problem.

Mathematical biosciences and engineering : MBE Feb 18, 2019
Particle swarm optimizer was proposed in 1995, and since then, it has become an extremely popular swarm intelligent algorithm with widespread applications. Many modified versions of it have been developed, in which, comprehensive learning particle sw...
Machine Learning Software Algorithms Computer Simulation Reproducibility of Results Models, Theoretical Pattern Recognition, Automated
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Volumetric analysis of breast cancer tissues using machine learning and swept-source optical coherence tomography.

Applied optics Feb 10, 2019
In breast cancer, 20%-30% of cases require a second surgery because of incomplete excision of malignant tissues. Therefore, to avoid the risk of recurrence, accurate detection of the cancer margin by the clinician or surgeons needs some assistance. I...
Reproducibility of Results Breast Neoplasms Image Processing, Computer-Assisted Support Vector Machine Tomography, Optical Coherence Carcinoma, Ductal, Breast Humans Machine Learning Algorithms Female
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Low coherence quantitative phase microscopy with machine learning model and Raman spectroscopy for the study of breast cancer cells and their classification.

Applied optics Feb 10, 2019
Early-stage detection of breast cancer is the primary requirement in modern healthcare as it is the most common cancer among women worldwide. Histopathology is the most widely preferred method for the diagnosis of breast cancer, but it requires long ...
Microscopy, Interference Interferometry Reproducibility of Results Sensitivity and Specificity Humans Breast Neoplasms Machine Learning ROC Curve Female Spectrum Analysis, Raman
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Network Tomography for Understanding Phenotypic Presentations in Aortic Stenosis.

JACC. Cardiovascular imaging Feb 1, 2019
OBJECTIVES: This study sought to build a patient-patient similarity network using multiple features of left ventricular (LV) structure and function in patients with aortic stenosis (AS). The study further validated the observations in an experimental...
Animals Male Ventricular Function, Left Echocardiography Middle Aged Disease Progression Severity of Illness Index Time Factors Disease Models, Animal Female Aortic Valve Stenosis Heart Ventricles Humans Reproducibility of Results Aortic Valve Image Interpretation, Computer-Assisted Aged Machine Learning Predictive Value of Tests Heart Valve Prosthesis Implantation Aged, 80 and over Balloon Valvuloplasty Mice, Knockout Cross-Sectional Studies
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Heart rate variability based machine learning models for risk prediction of suspected sepsis patients in the emergency department.

Medicine Feb 1, 2019
Early identification of high-risk septic patients in the emergency department (ED) may guide appropriate management and disposition, thereby improving outcomes. We compared the performance of machine learning models against conventional risk stratifi...
Triage Machine Learning Emergency Service, Hospital Singapore Female Heart Rate Reproducibility of Results Organ Dysfunction Scores Aged Aged, 80 and over Hospital Mortality Male Systemic Inflammatory Response Syndrome Humans Middle Aged ROC Curve Socioeconomic Factors Severity of Illness Index Sepsis
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Machine Learning for the Prediction of New-Onset Diabetes Mellitus during 5-Year Follow-up in Non-Diabetic Patients with Cardiovascular Risks.

Yonsei medical journal Feb 1, 2019
PURPOSE: Many studies have proposed predictive models for type 2 diabetes mellitus (T2DM). However, these predictive models have several limitations, such as user convenience and reproducibility. The purpose of this study was to develop a T2DM predic...
Follow-Up Studies Middle Aged ROC Curve Diabetes Mellitus, Type 2 Logistic Models Humans Machine Learning Algorithms Republic of Korea Female Reproducibility of Results Risk Factors Male Cardiovascular Diseases
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Predicting electrical storms by remote monitoring of implantable cardioverter-defibrillator patients using machine learning.

Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology Feb 1, 2019
AIMS: Electrical storm (ES) is a serious arrhythmic syndrome that is characterized by recurrent episodes of ventricular arrhythmias. Electrical storm is associated with increased mortality and morbidity despite the use of implantable cardioverter-def...
Humans Machine Learning Databases, Factual Reproducibility of Results Predictive Value of Tests Remote Sensing Technology Signal Processing, Computer-Assisted Heart Failure Heart Rate Risk Factors Risk Assessment Time Factors Treatment Outcome Tachycardia, Ventricular Defibrillators, Implantable Electric Countershock Ventricular Fibrillation
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Impact of Machine Learning With Multiparametric Magnetic Resonance Imaging of the Breast for Early Prediction of Response to Neoadjuvant Chemotherapy and Survival Outcomes in Breast Cancer Patients.

Investigative radiology Feb 1, 2019
PURPOSE: The aim of this study was to assess the potential of machine learning with multiparametric magnetic resonance imaging (mpMRI) for the early prediction of pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) and of survival ...
Aged Breast Humans Adult Survival Analysis ROC Curve Breast Neoplasms Machine Learning Chemotherapy, Adjuvant Treatment Outcome Middle Aged Diffusion Magnetic Resonance Imaging Prospective Studies Neoadjuvant Therapy Female Magnetic Resonance Imaging Reproducibility of Results Predictive Value of Tests
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