AIMC Topic: Middle Aged

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The value of artificial neural networks for predicting length of stay, discharge disposition, and inpatient costs after anatomic and reverse shoulder arthroplasty.

Journal of shoulder and elbow surgery Jun 9, 2020
HYPOTHESIS/PURPOSE: The objective is to develop and validate an artificial intelligence model, specifically an artificial neural network (ANN), to predict length of stay (LOS), discharge disposition, and inpatient charges for primary anatomic total (...
Middle Aged Female Shoulder Injuries Postoperative Complications Length of Stay Reproducibility of Results ROC Curve Aged Models, Statistical Aged, 80 and over Patient Discharge Humans Male Osteoarthritis Neural Networks, Computer Hospital Costs Machine Learning Hospital Charges Forecasting Arthroplasty, Replacement, Shoulder Databases, Factual Hemiarthroplasty
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Using Artificial Intelligence to Predict Surgical Shunts in Men with Ischemic Priapism.

The Journal of urology Jun 9, 2020
PURPOSE: Ischemic priapism is a urological emergency that requires prompt intervention to preserve erectile function. Characteristics that influence escalation to surgical intervention remain unclear. We identified factors and developed machine learn...
Treatment Outcome Models, Statistical Emergency Service, Hospital Anastomosis, Surgical Phenylephrine Male Middle Aged Risk Assessment Adolescent Time Factors Emergency Treatment Priapism Urologic Surgical Procedures, Male Paracentesis Erectile Dysfunction Penis Likelihood Functions Penile Erection Humans Machine Learning Retrospective Studies Aged Aged, 80 and over Young Adult Adult
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Added Value of Intraoperative Data for Predicting Postoperative Complications: The MySurgeryRisk PostOp Extension.

The Journal of surgical research Jun 9, 2020
BACKGROUND: Models that predict postoperative complications often ignore important intraoperative events and physiological changes. This study tested the hypothesis that accuracy, discrimination, and precision in predicting postoperative complication...
Middle Aged Postoperative Complications Hospital Mortality Models, Statistical Machine Learning Forecasting Retrospective Studies Female Male Humans
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Modest Clostridiodes difficile infection prediction using machine learning models in a tertiary care hospital.

Diagnostic microbiology and infectious disease Jun 8, 2020
Previous studies have shown promising results of machine learning (ML) models for predicting health outcomes. We develop and test ML models for predicting Clostridioides difficile infection (CDI) in hospitalized patients. This is a retrospective coho...
Bayes Theorem Tertiary Care Centers Clostridium Infections Clostridioides difficile Forecasting Anti-Bacterial Agents Retrospective Studies Female Humans Male Aged Machine Learning Middle Aged Diarrhea ROC Curve Logistic Models Area Under Curve
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A novel model for predicting the outcome of intracerebral hemorrhage: Based on 1186 Patients.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Jun 8, 2020
OBJECTIVE: To establish a model for predicting the outcome according to the clinical and computed tomography(CT) image data of patients with intracerebral hemorrhage(ICH).
Tomography, X-Ray Computed Female Risk Factors Cerebral Hemorrhage Risk Assessment Male Humans Predictive Value of Tests China Middle Aged Decision Support Techniques Time Factors Nomograms Prognosis Support Vector Machine Retrospective Studies
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A pilot study using a machine-learning approach of morphological and hemodynamic parameters for predicting aneurysms enhancement.

International journal of computer assisted radiology and surgery Jun 8, 2020
PURPOSE: The development of straightforward classification methods is needed to identify unstable aneurysms and rupture risk for clinical use. In this study, we aim to investigate the relative importance of geometrical, hemodynamic and clinical risk ...
Humans Machine Learning Female Stress, Mechanical Aneurysm, Ruptured Intracranial Aneurysm Male Middle Aged Hemodynamics Pilot Projects Linear Models
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Prospective Analysis Using a Novel CNN Algorithm to Distinguish Atypical Ductal Hyperplasia From Ductal Carcinoma in Situ in Breast.

Clinical breast cancer Jun 7, 2020
INTRODUCTION: We previously developed a convolutional neural networks (CNN)-based algorithm to distinguish atypical ductal hyperplasia (ADH) from ductal carcinoma in situ (DCIS) using a mammographic dataset. The purpose of this study is to further va...
Humans Neural Networks, Computer Prospective Studies Female Aged Adult Breast Neoplasms Middle Aged Carcinoma, Intraductal, Noninfiltrating Datasets as Topic Hyperplasia Mammary Glands, Human ROC Curve Mammography Diagnosis, Differential Biopsy Radiographic Image Interpretation, Computer-Assisted
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Defining heterogeneity of epicardial functional stenosis with low coronary flow reserve by unsupervised machine learning.

Heart and vessels Jun 6, 2020
Low CFR is associated with poor prognosis, whereas it is a heterogeneous condition according to the actual coronary flow, such as high resting or low hyperemic coronary flow, which should have different physiological traits and clinical implications....
Republic of Korea Fractional Flow Reserve, Myocardial Hyperemia Female Aged Male Japan Middle Aged Spain Humans Severity of Illness Index Blood Flow Velocity Prognosis Cardiac Catheterization Diagnosis, Computer-Assisted Coronary Stenosis Cluster Analysis Unsupervised Machine Learning Predictive Value of Tests Registries
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Applying cascaded convolutional neural network design further enhances automatic scoring of arthritis disease activity on ultrasound images from rheumatoid arthritis patients.

Annals of the rheumatic diseases Jun 5, 2020
OBJECTIVES: We have previously shown that neural network technology can be used for scoring arthritis disease activity in ultrasound images from rheumatoid arthritis (RA) patients, giving scores according to the EULAR-OMERACT grading system. We have ...
Humans Neural Networks, Computer Female Reproducibility of Results Arthritis, Rheumatoid Image Interpretation, Computer-Assisted Clinical Trials as Topic Joints Rheumatology Adult Synovitis Male Middle Aged Severity of Illness Index Ultrasonography
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Effects of gait exercise assist robot (GEAR) on subjects with chronic stroke: A randomized controlled pilot trial.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Jun 5, 2020
OBJECTIVE: The aim of this study was to investigate whether gait training using the Gait Exercise Assist Robot (GEAR) is more effective for improving gait ability than treadmill gait training in chronic stroke subjects.
Exercise Therapy Gait Analysis Stroke Rehabilitation Humans Female Chronic Disease Aged Middle Aged Robotics Male Pilot Projects Stroke Time Factors Gait Treatment Outcome Japan Recovery of Function
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