AIMC Topic: Sensitivity and Specificity

Clear Filters Showing 1671 to 1680 of 3084 articles

Assessing the effectiveness of artificial intelligence methods for melanoma: A retrospective review.

Journal of the American Academy of Dermatology Jun 27, 2019
BACKGROUND: Artificial intelligence methods for the classification of melanoma have been studied extensively. However, few studies compare these methods under the same standards.
Melanoma Skin Neoplasms Dermoscopy Reproducibility of Results Sensitivity and Specificity Humans Artificial Intelligence Retrospective Studies
View on PubMed DOI

Minimizing postprandial hypoglycemia in Type 1 diabetes patients using multiple insulin injections and capillary blood glucose self-monitoring with machine learning techniques.

Computer methods and programs in biomedicine Jun 27, 2019
BACKGROUND: Diabetic patients treated with intensive insulin therapies require a tight glycemic control and may benefit from advanced tools to predict blood glucose (BG) concentration levels and hypo/hyperglycemia events. Prediction systems using mac...
Capillaries Blood Glucose Self-Monitoring False Positive Reactions Normal Distribution Insulin Infusion Systems Male Retrospective Studies Middle Aged Humans Female Blood Glucose Machine Learning Reproducibility of Results Insulin Algorithms Adult Computer Simulation Sensitivity and Specificity Diabetes Mellitus, Type 1 Hypoglycemic Agents Bayes Theorem Hypoglycemia Postprandial Period
View on PubMed DOI

Automatic Multi-Level In-Exhale Segmentation and Enhanced Generalized S-Transform for wheezing detection.

Computer methods and programs in biomedicine Jun 26, 2019
BACKGROUND AND OBJECTIVE: Wheezing is a common symptom of patients caused by asthma and chronic obstructive pulmonary diseases. Wheezing detection identifies wheezing lung sounds and helps physicians in diagnosis, monitoring, and treatment of pulmona...
False Positive Reactions Respiratory Sounds Telemedicine Artifacts Humans Male Medical Informatics Machine Learning Female Pattern Recognition, Automated Support Vector Machine Software Reproducibility of Results Monitoring, Physiologic Adult Algorithms Models, Statistical Sensitivity and Specificity Signal Processing, Computer-Assisted
View on PubMed DOI

Performance of a Deep-Learning Neural Network to Detect Intracranial Aneurysms from 3D TOF-MRA Compared to Human Readers.

Clinical neuroradiology Jun 21, 2019
PURPOSE: To study the clinical potential of a deep learning neural network (convolutional neural networks [CNN]) as a supportive tool for detection of intracranial aneurysms from 3D time-of-flight magnetic resonance angiography (TOF-MRA) by comparing...
Imaging, Three-Dimensional Magnetic Resonance Angiography Intracranial Aneurysm Male Middle Aged Deep Learning Clinical Competence Humans Retrospective Studies Female Sensitivity and Specificity
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...
Humans Machine Learning Research Design Retrospective Studies Academic Medical Centers Pilot Projects Tomography, X-Ray Computed Automation United States Natural Language Processing Female Radiology Information Systems Feasibility Studies Sensitivity and Specificity Radiography, Thoracic Quality Improvement Male
View on PubMed DOI

Automated detection of third molars and mandibular nerve by deep learning.

Scientific reports Jun 21, 2019
The approximity of the inferior alveolar nerve (IAN) to the roots of lower third molars (M3) is a risk factor for the occurrence of nerve damage and subsequent sensory disturbances of the lower lip and chin following the removal of third molars. To a...
Humans Reproducibility of Results Radiography, Panoramic Mandibular Nerve Tooth Extraction Trigeminal Nerve Injuries Tooth, Impacted Risk Factors Sensitivity and Specificity Deep Learning Molar, Third
View on PubMed DOI

Application of Deep Learning in Quantitative Analysis of 2-Dimensional Ultrasound Imaging of Nonalcoholic Fatty Liver Disease.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine Jun 20, 2019
OBJECTIVES: To verify the value of deep learning in diagnosing nonalcoholic fatty liver disease (NAFLD) by comparing 3 image-processing techniques.
Image Interpretation, Computer-Assisted Ultrasonography Sensitivity and Specificity Liver Severity of Illness Index Evaluation Studies as Topic Deep Learning Non-alcoholic Fatty Liver Disease
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 ...
Multiple Sclerosis Pattern Recognition, Automated Neuroimaging Carotid Arteries White Matter Humans Brain Middle Aged Female Cohort Studies Reproducibility of Results Aged, 80 and over Support Vector Machine Aged Adult Magnetic Resonance Imaging Sensitivity and Specificity Atherosclerosis Male
View on PubMed DOI

Using natural language processing of clinical text to enhance identification of opioid-related overdoses in electronic health records data.

Pharmacoepidemiology and drug safety Jun 19, 2019
PURPOSE: To enhance automated methods for accurately identifying opioid-related overdoses and classifying types of overdose using electronic health record (EHR) databases.
Humans Electronic Health Records Sensitivity and Specificity Predictive Value of Tests Drug Overdose Self-Injurious Behavior Risk Heroin Washington Natural Language Processing Analgesics, Opioid Opioid-Related Disorders Datasets as Topic
View on PubMed DOI

Presurgical differentiation between malignant haemangiopericytoma and angiomatous meningioma by a radiomics approach based on texture analysis.

Journal of neuroradiology = Journal de neuroradiologie Jun 18, 2019
PURPOSE: To assess whether a machine-learning model based on texture analysis (TA) could yield a more accurate diagnosis in differentiating malignant haemangiopericytoma (HPC) from angiomatous meningioma (AM).
Magnetic Resonance Imaging Preoperative Care Meningioma Meningeal Neoplasms Adult Neuroradiography Sensitivity and Specificity Hemangiopericytoma Humans Male Machine Learning Middle Aged Retrospective Studies Diagnosis, Computer-Assisted Female
View on PubMed DOI
Popular Topics
Recent Journals