AIMC Topic: Aged

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Deep Learning Preoperatively Predicts Value Metrics for Primary Total Knee Arthroplasty: Development and Validation of an Artificial Neural Network Model.

The Journal of arthroplasty Jun 20, 2019
BACKGROUND: The objective is to develop and validate an artificial neural network (ANN) that learns and predicts length of stay (LOS), inpatient charges, and discharge disposition before primary total knee arthroplasty (TKA). The secondary objective ...
Inpatients Arthroplasty, Replacement, Knee Osteoarthritis, Knee Comorbidity Deep Learning Length of Stay ROC Curve United States Risk Factors Aged Aged, 80 and over Male Neural Networks, Computer Algorithms Databases, Factual Female Reproducibility of Results Humans
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Machine Learning Prediction of Response to Cardiac Resynchronization Therapy: Improvement Versus Current Guidelines.

Circulation. Arrhythmia and electrophysiology Jun 20, 2019
BACKGROUND: Cardiac resynchronization therapy (CRT) has significant nonresponse rates. We assessed whether machine learning (ML) could predict CRT response beyond current guidelines.
Echocardiography Middle Aged Risk Assessment Disease Progression Time Factors Aged Male Ventricular Function, Left Stroke Volume Progression-Free Survival Practice Guidelines as Topic Heart-Assist Devices Heart Transplantation Ohio Recovery of Function Predictive Value of Tests Patient Selection Heart Failure Cardiac Resynchronization Therapy Humans Machine Learning Decision Support Techniques Retrospective Studies Clinical Decision-Making Female Risk Factors Baltimore
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Deep-learning-based imaging-classification identified cingulate island sign in dementia with Lewy bodies.

Scientific reports Jun 20, 2019
The differentiation of dementia with Lewy bodies (DLB) from Alzheimer's disease (AD) using brain perfusion single photon emission tomography is important but is challenging because these conditions exhibit typical features. The cingulate island sign ...
Lewy Bodies Humans Female Aged Aged, 80 and over Male Deep Learning Positron-Emission Tomography Lewy Body Disease
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Automatic identification of atherosclerosis subjects in a heterogeneous MR brain imaging data set.

Magnetic resonance imaging Jun 19, 2019
Carotid-artery atherosclerosis (CA) contributes significantly to overall morbidity and mortality in ischemic stroke. We propose a machine learning technique to automatically identify subjects with CA from a heterogeneous cohort of magnetic resonance ...
Humans Brain Female Reproducibility of Results Aged Aged, 80 and over Adult Carotid Arteries White Matter Magnetic Resonance Imaging Sensitivity and Specificity Atherosclerosis Male Multiple Sclerosis Middle Aged Pattern Recognition, Automated Cohort Studies Neuroimaging Support Vector Machine
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Diagnosis of Alzheimer's disease with Sobolev gradient-based optimization and 3D convolutional neural network.

International journal for numerical methods in biomedical engineering Jun 19, 2019
Alzheimer's disease is a neuropsychiatric, progressive, also an irreversible disease. There is not an effective cure for the disease. However, early diagnosis has an important role for treatment planning to delay its progression since the treatments ...
Humans Female Neural Networks, Computer Deep Learning Aged Algorithms Imaging, Three-Dimensional Male Case-Control Studies Image Processing, Computer-Assisted Diagnosis, Computer-Assisted Magnetic Resonance Imaging Alzheimer Disease
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CT Super-Resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble (GAN-CIRCLE).

IEEE transactions on medical imaging Jun 14, 2019
In this paper, we present a semi-supervised deep learning approach to accurately recover high-resolution (HR) CT images from low-resolution (LR) counterparts. Specifically, with the generative adversarial network (GAN) as the building block, we enfor...
Image Processing, Computer-Assisted Abdomen Tibia Female Aged Aged, 80 and over Male Deep Learning Humans Neural Networks, Computer Tomography, X-Ray Computed
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Microvascularity detection and quantification in glioma: a novel deep-learning-based framework.

Laboratory investigation; a journal of technical methods and pathology Jun 14, 2019
Microvascularity is highly correlated with the grading and subtyping of gliomas, making this one of its most important histological features. Accurate quantitative analysis of microvessels is helpful for the development of a targeted therapy for anti...
China Glioma Microvessels Adult Humans Brain Neoplasms Male Female Middle Aged Aged Deep Learning
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Classification of diabetes-related retinal diseases using a deep learning approach in optical coherence tomography.

Computer methods and programs in biomedicine Jun 14, 2019
BACKGROUND AND OBJECTIVES: Spectral Domain Optical Coherence Tomography (SD-OCT) is a volumetric imaging technique that allows measuring patterns between layers such as small amounts of fluid. Since 2012, automatic medical image analysis performance ...
Deep Learning Area Under Curve Algorithms Tomography, Optical Coherence Pattern Recognition, Automated Humans Macular Edema Reproducibility of Results Retinal Diseases Diabetic Retinopathy Macular Degeneration Aged Neural Networks, Computer Aged, 80 and over Software Middle Aged
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Automatic CIN Grades Prediction of Sequential Cervigram Image Using LSTM With Multistate CNN Features.

IEEE journal of biomedical and health informatics Jun 13, 2019
Cervical cancer ranks as the second most common cancer in women worldwide. In clinical practice, colposcopy is an indispensable part of screening for cervical intraepithelial neoplasia (CIN) grades and cervical cancer but exhibits high misdiagnosis r...
Uterine Cervical Dysplasia Colposcopy Sensitivity and Specificity Uterine Cervical Neoplasms Middle Aged Cervix Uteri Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Algorithms Female Aged Young Adult Adult
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Development of Machine Learning Algorithms for Prediction of Sustained Postoperative Opioid Prescriptions After Total Hip Arthroplasty.

The Journal of arthroplasty Jun 13, 2019
BACKGROUND: Postoperative recovery after total hip arthroplasty (THA) can lead to the development of prolonged opioid use but there are few tools for predicting this adverse outcome. The purpose of this study is to develop machine learning algorithms...
Middle Aged Risk Assessment Logistic Models Pain, Postoperative Analgesics, Opioid Retrospective Studies Humans Female Machine Learning Aged Algorithms Male Opioid-Related Disorders Postoperative Period Arthroplasty, Replacement, Hip Prescriptions
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