AIMC Topic: Reproducibility of Results

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Prediction of high proliferative index in pituitary macroadenomas using MRI-based radiomics and machine learning.

Neuroradiology Aug 2, 2019
PURPOSE: Pituitary adenomas are among the most frequent intracranial tumors. They may exhibit clinically aggressive behavior, with recurrent disease and resistance to multimodal therapy. The ki-67 labeling index represents a proliferative marker whic...
Aged Aged, 80 and over Adult Biomarkers, Tumor Machine Learning Algorithms Female Reproducibility of Results Magnetic Resonance Imaging Pituitary Neoplasms Adenoma Predictive Value of Tests Ki-67 Antigen Male Middle Aged Adolescent Image Processing, Computer-Assisted Humans
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Development and Performance of the Pulmonary Embolism Result Forecast Model (PERFORM) for Computed Tomography Clinical Decision Support.

JAMA network open Aug 2, 2019
IMPORTANCE: Pulmonary embolism (PE) is a life-threatening clinical problem, and computed tomographic imaging is the standard for diagnosis. Clinical decision support rules based on PE risk-scoring models have been developed to compute pretest probabi...
Humans Machine Learning Aged Aged, 80 and over Adult Middle Aged Risk Assessment Retrospective Studies Tomography, X-Ray Computed Electronic Health Records Reproducibility of Results Decision Support Systems, Clinical Pulmonary Embolism
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Machine Learning for Patient-Specific Quality Assurance of VMAT: Prediction and Classification Accuracy.

International journal of radiation oncology, biology, physics Aug 1, 2019
PURPOSE: To assess the accuracy of machine learning to predict and classify quality assurance (QA) results for volumetric modulated arc therapy (VMAT) plans.
Female Poisson Distribution Genital Neoplasms, Female Reproducibility of Results Regression Analysis Radiotherapy, Intensity-Modulated Sensitivity and Specificity Workload Head and Neck Neoplasms Humans Radiotherapy Planning, Computer-Assisted Data Accuracy Quality Assurance, Health Care Machine Learning
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Combined Ensemble Docking and Machine Learning in Identification of Therapeutic Agents with Potential Inhibitory Effect on Human CES1.

Molecules (Basel, Switzerland) Jul 29, 2019
The human carboxylesterase 1 (CES1), responsible for the biotransformation of many diverse therapeutic agents, may contribute to the occurrence of adverse drug reactions and therapeutic failure through drug interactions. The present study is designed...
Drug Discovery Quantitative Structure-Activity Relationship ROC Curve Humans Enzyme Activation Molecular Dynamics Simulation Protease Inhibitors Machine Learning Carboxylic Ester Hydrolases Small Molecule Libraries Reproducibility of Results Molecular Docking Simulation
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The Current Research Landscape of the Application of Artificial Intelligence in Managing Cerebrovascular and Heart Diseases: A Bibliometric and Content Analysis.

International journal of environmental research and public health Jul 29, 2019
The applications of artificial intelligence (AI) in aiding clinical decision-making and management of stroke and heart diseases have become increasingly common in recent years, thanks in part to technological advancements and the heightened interest ...
Health Behavior Humans Records Artificial Intelligence Bibliometrics Forecasting Robotics Reproducibility of Results Cerebrovascular Disorders Heart Diseases
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Prediction of good neurological recovery after out-of-hospital cardiac arrest: A machine learning analysis.

Resuscitation Jul 27, 2019
BACKGROUND: This study aimed to train, validate and compare predictive models that use machine learning analysis for good neurological recovery in OHCA patients.
Humans Nervous System Diseases Machine Learning Cardiopulmonary Resuscitation Out-of-Hospital Cardiac Arrest Prognosis Clinical Decision Rules Reproducibility of Results Recovery of Function Heart Diseases
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Identification of the gene signature reflecting schizophrenia's etiology by constructing artificial intelligence-based method of enhanced reproducibility.

CNS neuroscience & therapeutics Jul 27, 2019
AIMS: As one of the most fundamental questions in modern science, "what causes schizophrenia (SZ)" remains a profound mystery due to the absence of objective gene markers. The reproducibility of the gene signatures identified by independent studies i...
Humans Random Allocation Gene Expression Profiling Databases, Genetic Schizophrenia Artificial Intelligence Reproducibility of Results
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Applicability Domain of Active Learning in Chemical Probe Identification: Convergence in Learning from Non-Specific Compounds and Decision Rule Clarification.

Molecules (Basel, Switzerland) Jul 26, 2019
Efficient identification of chemical probes for the manipulation and understanding of biological systems demands specificity for target proteins. Computational means to optimize candidate compound selection for experimental selectivity evaluation are...
Chemical Phenomena Databases, Chemical Quantitative Structure-Activity Relationship Computational Biology Models, Theoretical Decision Trees Ligands Algorithms Decision Support Techniques Reproducibility of Results Drug Discovery Machine Learning
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A Diagnostic Prediction Model of Acute Symptomatic Portal Vein Thrombosis.

Annals of vascular surgery Jul 25, 2019
BACKGROUND: The aim of this study was to develop a diagnostic prediction model to improve identification of acute symptomatic portal vein thrombosis (PVT).
Humans Decision Support Techniques Retrospective Studies Female Reproducibility of Results Predictive Value of Tests Diagnosis, Computer-Assisted Acute Disease Risk Factors China Portal Vein Adult Support Vector Machine Male Venous Thrombosis Middle Aged
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Development and validation of a deep-learning algorithm for the detection of neovascular age-related macular degeneration from colour fundus photographs.

Clinical & experimental ophthalmology Jul 25, 2019
IMPORTANCE: Detection of early onset neovascular age-related macular degeneration (AMD) is critical to protecting vision.
Ophthalmologists Choroidal Neovascularization False Positive Reactions Fluorescein Angiography Wet Macular Degeneration Photography Middle Aged Diagnosis, Computer-Assisted Deep Learning ROC Curve Visual Acuity Predictive Value of Tests Area Under Curve Fundus Oculi Female Reproducibility of Results Sensitivity and Specificity Male Humans Algorithms Retrospective Studies
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