AIMC Topic: Male

Clear Filters Showing 18191 to 18200 of 27433 articles

Artificial intelligence and machine learning for predicting acute kidney injury in severely burned patients: A proof of concept.

Burns : journal of the International Society for Burn Injuries Jun 21, 2019
BACKGROUND: Burn critical care represents a high impact population that may benefit from artificial intelligence and machine learning (ML). Acute kidney injury (AKI) recognition in burn patients could be enhanced by ML. The goal of this study was to ...
Urine Proof of Concept Study Lipocalin-2 Burns Creatinine Natriuretic Peptide, Brain Young Adult Adult Male Middle Aged Peptide Fragments Humans Artificial Intelligence Machine Learning Acute Kidney Injury Female
View on PubMed DOI

Feasibility of Natural Language Processing-Assisted Auditing of Critical Findings in Chest Radiology.

Journal of the American College of Radiology : JACR Jun 21, 2019
OBJECTIVE: Time-sensitive communication of critical imaging findings like pneumothorax or pulmonary embolism to referring physicians is essential for patient safety. The definitive communication is the radiology free-text report. Quality assurance in...
Radiography, Thoracic Sensitivity and Specificity Male Pilot Projects United States Natural Language Processing Feasibility Studies Machine Learning Quality Improvement Research Design Humans Academic Medical Centers Retrospective Studies Automation Tomography, X-Ray Computed Radiology Information Systems Female
View on PubMed DOI

Automatic gas detection in prostate cancer patients during image-guided radiation therapy using a deep convolutional neural network.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Jun 21, 2019
PURPOSE: The detection of intestinal/rectal gas is very important during image-guided radiation therapy (IGRT) of prostate cancer patients because intestinal/rectal gas increases the inter- and intra-fractional prostate motion. We propose a deep conv...
Radiotherapy, Image-Guided Image Processing, Computer-Assisted Humans Intestines Tomography, X-Ray Computed Prostatic Neoplasms Male Automation Deep Learning Gases
View on PubMed DOI

Learning cellular morphology with neural networks.

Nature communications Jun 21, 2019
Reconstruction and annotation of volume electron microscopy data sets of brain tissue is challenging but can reveal invaluable information about neuronal circuits. Significant progress has recently been made in automated neuron reconstruction as well...
Animals Male Image Processing, Computer-Assisted Feasibility Studies Neurons Neural Networks, Computer Algorithms Brain Synapses Datasets as Topic Microscopy, Electron Passeriformes
View on PubMed DOI

A machine learning approach for predictive models of adverse events following spine surgery.

The spine journal : official journal of the North American Spine Society Jun 20, 2019
BACKGROUND: Rates of adverse events following spine surgery vary widely by patient-, diagnosis-, and procedure-related factors. It is critical to understand the expected rates of complications and to be able to implement targeted efforts at limiting ...
Retrospective Studies Female Aged Male Middle Aged Risk Assessment Postoperative Complications Comorbidity Logistic Models United States Humans Machine Learning Databases, Factual Area Under Curve Spine Odds Ratio Orthopedic Procedures
View on PubMed DOI

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 ...
Humans ROC Curve Neural Networks, Computer United States Algorithms Inpatients Databases, Factual Female Male Arthroplasty, Replacement, Knee Reproducibility of Results Comorbidity Osteoarthritis, Knee Risk Factors Deep Learning Aged Length of Stay Aged, 80 and over
View on PubMed DOI

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.
Progression-Free Survival Practice Guidelines as Topic Heart-Assist Devices Heart Transplantation Ohio Risk Factors Baltimore Recovery of Function Machine Learning Humans Aged Echocardiography Predictive Value of Tests Decision Support Techniques Male Middle Aged Patient Selection Retrospective Studies Ventricular Function, Left Heart Failure Clinical Decision-Making Stroke Volume Risk Assessment Cardiac Resynchronization Therapy Female Disease Progression Time Factors
View on PubMed DOI

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 ...
Female Aged Aged, 80 and over Male Deep Learning Humans Positron-Emission Tomography Lewy Body Disease Lewy Bodies
View on PubMed DOI

Incorporating dosimetric features into the prediction of 3D VMAT dose distributions using deep convolutional neural network.

Physics in medicine and biology Jun 20, 2019
An accurate prediction of achievable dose distribution on a patient specific basis would greatly improve IMRT/VMAT planning in both efficiency and quality. Recently machine learning techniques have been proposed for IMRT dose prediction based on pati...
Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Humans Radiotherapy, Intensity-Modulated Neural Networks, Computer Radiometry Male Prostatic Neoplasms
View on PubMed DOI

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 ...
White Matter Male Middle Aged Cohort Studies Support Vector Machine Magnetic Resonance Imaging Atherosclerosis Multiple Sclerosis Pattern Recognition, Automated Neuroimaging Carotid Arteries Reproducibility of Results Aged Aged, 80 and over Adult Sensitivity and Specificity Humans Brain Female
View on PubMed DOI
Popular Topics
Recent Journals