AIMC Topic: Aged

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Machine learning for the prediction of volume responsiveness in patients with oliguric acute kidney injury in critical care.

Critical care (London, England) Apr 8, 2019
BACKGROUND AND OBJECTIVES: Excess fluid balance in acute kidney injury (AKI) may be harmful, and conversely, some patients may respond to fluid challenges. This study aimed to develop a prediction model that can be used to differentiate between volum...
Humans Machine Learning Male Middle Aged Time Factors Logistic Models Fluid Therapy Acute Kidney Injury Intensive Care Units Female Aged Aged, 80 and over Critical Care Oliguria
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Developing neural network models for early detection of cardiac arrest in emergency department.

The American journal of emergency medicine Apr 7, 2019
BACKGROUND: Automated surveillance for cardiac arrests would be useful in overcrowded emergency departments. The purpose of this study is to develop and test artificial neural network (ANN) classifiers for early detection of patients at risk of cardi...
Humans Neural Networks, Computer Retrospective Studies Early Diagnosis Heart Arrest Electronic Health Records Middle Aged Female ROC Curve Aged Logistic Models Adult Predictive Value of Tests Male Emergency Service, Hospital
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Unsupervised tumor detection in Dynamic PET/CT imaging of the prostate.

Medical image analysis Apr 6, 2019
Early detection and localization of prostate tumors pose a challenge to the medical community. Several imaging techniques, including PET, have shown some success. But no robust and accurate solution has yet been reached. This work aims to detect pros...
Unsupervised Machine Learning Anatomic Landmarks Positron Emission Tomography Computed Tomography Prostatic Neoplasms Neoplasm Grading Radiographic Image Interpretation, Computer-Assisted Radiopharmaceuticals Algorithms Aged Male Middle Aged Imaging, Three-Dimensional Humans
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Heterogeneous effects of alveolar recruitment in acute respiratory distress syndrome: a machine learning reanalysis of the Alveolar Recruitment for Acute Respiratory Distress Syndrome Trial.

British journal of anaesthesia Apr 5, 2019
BACKGROUND: Despite a robust physiological rationale, recruitment manoeuvres with PEEP titration were associated with harm in the Alveolar Recruitment for Acute Respiratory Distress Syndrome Trial (ART). We sought to investigate the potential heterog...
Bayes Theorem Pulmonary Alveoli Clinical Protocols Adolescent Hospital Mortality Cluster Analysis Respiratory Distress Syndrome Positive-Pressure Respiration Humans Machine Learning Female Aged Aged, 80 and over Young Adult Adult Male Middle Aged
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Plaque components segmentation in carotid artery on simultaneous non-contrast angiography and intraplaque hemorrhage imaging using machine learning.

Magnetic resonance imaging Apr 5, 2019
PURPOSE: This study sought to determine the feasibility of using Simultaneous Non-contrast Angiography and intraPlaque Hemorrhage (SNAP) to detect the lipid-rich/necrotic core (LRNC), and develop a machine learning based algorithm to segment plaque c...
Necrosis Carotid Stenosis Plaque, Amyloid Middle Aged Female Bayes Theorem Humans Contrast Media Reproducibility of Results Carotid Arteries Machine Learning Calcinosis Aged Carotid Artery, Common Algorithms Lipids Plaque, Atherosclerotic Sensitivity and Specificity Cerebral Hemorrhage Angiography Male
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Forecasting future Humphrey Visual Fields using deep learning.

PloS one Apr 5, 2019
PURPOSE: To determine if deep learning networks could be trained to forecast future 24-2 Humphrey Visual Fields (HVFs).
Disease Progression Linear Models Humans Female Spatio-Temporal Analysis Glaucoma Visual Field Tests Aged Deep Learning Algorithms Adult Forecasting Models, Statistical Male Databases, Factual Visual Fields Middle Aged
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Upper limb robot-assisted rehabilitation versus physical therapy on subacute stroke patients: A follow-up study.

Journal of bodywork and movement therapies Apr 4, 2019
This study aims to analyse the long-term effects (6 months follow-up) of upper limb Robot-assisted Therapy (RT) compared to Traditional physical Therapy (TT), in subacute stroke patients. Although the literature on upper-limb rehabilitation with robo...
Robotics Single-Blind Method Paresis Upper Extremity Physical Therapy Modalities Humans Stroke Rehabilitation Female Aged Aged, 80 and over Male Severity of Illness Index Follow-Up Studies Recovery of Function
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Oncologic outcomes in patients treated with endoscopic robot assisted simple enucleation (ERASE) for renal cell carcinoma: Results from a tertiary referral center.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology Apr 4, 2019
INTRODUCTION: Open Simple Enucleation (OSE) has been demonstrated to be an oncologically safe alternative to standard partial nephrectomy. We assessed the mid-term oncologic outcomes and predictors of disease recurrence in patients treated with Endos...
Margins of Excision Italy Disease-Free Survival Kidney Neoplasms Carcinoma, Renal Cell Nephrectomy Follow-Up Studies Magnetic Resonance Imaging Robotics Laparoscopy Tertiary Care Centers Humans Retrospective Studies Tomography, X-Ray Computed Male Middle Aged Female Treatment Outcome Aged Survival Rate
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Application of MR morphologic, diffusion tensor, and perfusion imaging in the classification of brain tumors using machine learning scheme.

Neuroradiology Apr 4, 2019
PURPOSE: While MRI is the modality of choice for the assessment of patients with brain tumors, differentiation between various tumors based on their imaging characteristics might be challenging due to overlapping imaging features. The purpose of this...
Prospective Studies Female Aged Aged, 80 and over Adult Humans Machine Learning Lymphoma Magnetic Resonance Imaging Diagnosis, Differential Glioblastoma Image Interpretation, Computer-Assisted Sensitivity and Specificity Meningioma Brain Neoplasms Male Middle Aged Adolescent
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Smooth Bayesian network model for the prediction of future high-cost patients with COPD.

International journal of medical informatics Apr 4, 2019
INTRODUCTION: The clinical course of chronic obstructive pulmonary disease (COPD) is marked by acute exacerbation events that increase hospitalization rates and healthcare spending. The early identification of future high-cost patients with COPD may ...
Disease Progression Aged Pulmonary Disease, Chronic Obstructive Support Vector Machine Humans Bayes Theorem Male Machine Learning Cost of Illness Middle Aged Female Risk Assessment Hospitalization
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