AIMC Topic: Middle Aged

Clear Filters Showing 11201 to 11210 of 17155 articles

Machine learning for prediction of septic shock at initial triage in emergency department.

Journal of critical care Oct 22, 2019
BACKGROUND: We hypothesized utilizing machine learning (ML) algorithms for screening septic shock in ED would provide better accuracy than qSOFA or MEWS.
Triage Area Under Curve Emergency Service, Hospital Multivariate Analysis Vital Signs Middle Aged Sepsis Hospital Mortality Shock, Septic Support Vector Machine Female Aged Young Adult Adult Male Machine Learning Software Algorithms Prognosis Electronic Health Records Republic of Korea Humans
View on PubMed DOI

Improving automatic delineation for head and neck organs at risk by Deep Learning Contouring.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Oct 22, 2019
INTRODUCTION: Adequate head and neck (HN) organ-at-risk (OAR) delineation is crucial for HN radiotherapy and for investigating the relationships between radiation dose to OARs and radiation-induced side effects. The automatic contouring algorithms th...
Radiotherapy Planning, Computer-Assisted Observer Variation Adolescent Head and Neck Neoplasms Neck Neoplasm Staging Organs at Risk Humans Neural Networks, Computer Algorithms Female Male Middle Aged Deep Learning Aged Young Adult Adult
View on PubMed DOI

Data-efficient deep learning of radiological image data for outcome prediction after endovascular treatment of patients with acute ischemic stroke.

Computers in biology and medicine Oct 22, 2019
Treatment selection is becoming increasingly more important in acute ischemic stroke patient care. Clinical variables and radiological image biomarkers (old age, pre-stroke mRS, NIHSS, occlusion location, ASPECTS, among others) have an important role...
Humans Neural Networks, Computer Prospective Studies Female Aged Registries Stroke Cerebral Angiography Brain Ischemia Endovascular Procedures Computed Tomography Angiography Aged, 80 and over Male Middle Aged Postoperative Complications Predictive Value of Tests
View on PubMed DOI

Chronic Obstructive Pulmonary Disease: Thoracic CT Texture Analysis and Machine Learning to Predict Pulmonary Ventilation.

Radiology Oct 22, 2019
Background Fixed airflow limitation and ventilation heterogeneity are common in chronic obstructive pulmonary disease (COPD). Conventional noncontrast CT provides airway and parenchymal measurements but cannot be used to directly determine lung funct...
Tomography, X-Ray Computed Female Aged Aged, 80 and over Adult Humans Machine Learning Prospective Studies Magnetic Resonance Imaging Pulmonary Ventilation Pulmonary Disease, Chronic Obstructive Male Middle Aged Support Vector Machine Longitudinal Studies
View on PubMed DOI

Deep Learning for Chest Radiograph Diagnosis in the Emergency Department.

Radiology Oct 22, 2019
BackgroundThe performance of a deep learning (DL) algorithm should be validated in actual clinical situations, before its clinical implementation.PurposeTo evaluate the performance of a DL algorithm for identifying chest radiographs with clinically r...
Humans Retrospective Studies Female Aged Clinical Competence Diagnosis, Differential Emergency Service, Hospital Radiography, Thoracic Adult Sensitivity and Specificity Male Middle Aged Deep Learning
View on PubMed DOI

SVM recursive feature elimination analyses of structural brain MRI predicts near-term relapses in patients with clinically isolated syndromes suggestive of multiple sclerosis.

NeuroImage. Clinical Oct 22, 2019
Machine learning classification is an attractive approach to automatically differentiate patients from healthy subjects, and to predict future disease outcomes. A clinically isolated syndrome (CIS) is often the first presentation of multiple sclerosi...
Support Vector Machine Male Gray Matter Humans Middle Aged White Matter Follow-Up Studies Retrospective Studies Disease Progression Magnetic Resonance Imaging Female Adolescent Multiple Sclerosis Young Adult Image Processing, Computer-Assisted Neuroimaging Adult
View on PubMed DOI

Effect of Radiation Doses to the Heart on Survival for Stereotactic Ablative Radiotherapy for Early-stage Non-Small-cell Lung Cancer: An Artificial Neural Network Approach.

Clinical lung cancer Oct 21, 2019
INTRODUCTION: The cardiac radiation dose is an important predictor of cardiac toxicity and overall survival (OS) for patients with locally advanced non-small-cell lung cancer (NSCLC). However, radiation-induced cardiac toxicity among patients with ea...
Male Middle Aged Lung Neoplasms Carcinoma, Non-Small-Cell Lung Follow-Up Studies Female Carcinoma, Squamous Cell Aged Aged, 80 and over Survival Rate Humans Neural Networks, Computer Retrospective Studies Neoplasm Staging Radiotherapy Dosage Radiosurgery Cardiotoxicity
View on PubMed DOI

Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death.

Clinical cancer research : an official journal of the American Association for Cancer Research Oct 21, 2019
PURPOSE: Biomarkers for disease-specific survival (DSS) in early-stage melanoma are needed to select patients for adjuvant immunotherapy and accelerate clinical trial design. We present a pathology-based computational method using a deep neural netwo...
Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Retrospective Studies Staining and Labeling Female Follow-Up Studies Melanoma Area Under Curve Biopsy Risk Factors Aged Survival Rate Neoplasm Recurrence, Local Aged, 80 and over Male Young Adult Humans Middle Aged Adult Disease Progression Deep Learning
View on PubMed DOI

Applying Machine Learning Techniques in Nomogram Prediction and Analysis for SMILE Treatment.

American journal of ophthalmology Oct 21, 2019
PURPOSE: To analyze the outcome of machine learning technique for prediction of small incision lenticule extraction (SMILE) nomogram.
Corneal Stroma Corneal Surgery, Laser Female Young Adult Adult Male Middle Aged Refraction, Ocular Myopia Nomograms Lasers, Excimer Astigmatism Humans Machine Learning Prospective Studies
View on PubMed DOI

Accurate and robust segmentation of neuroanatomy in T1-weighted MRI by combining spatial priors with deep convolutional neural networks.

Human brain mapping Oct 21, 2019
Neuroanatomical segmentation in magnetic resonance imaging (MRI) of the brain is a prerequisite for quantitative volume, thickness, and shape measurements, as well as an important intermediate step in many preprocessing pipelines. This work introduce...
Adult Middle Aged Deep Learning Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Neuroimaging Humans Brain Reproducibility of Results Aged
View on PubMed DOI
Popular Topics
Recent Journals