AIMC Topic: Diagnostic Tests, Routine

Clear Filters Showing 51 to 60 of 74 articles

Deep learning in radiology: An overview of the concepts and a survey of the state of the art with focus on MRI.

Journal of magnetic resonance imaging : JMRI Dec 21, 2018
Deep learning is a branch of artificial intelligence where networks of simple interconnected units are used to extract patterns from data in order to solve complex problems. Deep-learning algorithms have shown groundbreaking performance in a variety ...
Humans Neural Networks, Computer Artificial Intelligence Magnetic Resonance Imaging Radiography Radiology Diagnostic Tests, Routine Machine Learning Algorithms Deep Learning Image Processing, Computer-Assisted
View on PubMed DOI

Using Machine Learning to Predict the Information Seeking Behavior of Clinicians Using an Electronic Medical Record System.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Poor electronic medical record (EMR) usability is detrimental to both clinicians and patients. A better EMR would provide concise, context sensitive patient data, but doing so entails the difficult task of knowing which data are relevant. To determin...
Respiratory Insufficiency Diagnostic Tests, Routine Information Seeking Behavior Acute Kidney Injury Medical Records Systems, Computerized Intensive Care Units Humans Machine Learning Electronic Health Records Physicians User-Computer Interface
View on PubMed

Machine Learning in Clinical Pathology: Seeing the Forest for the Trees.

Clinical chemistry Sep 20, 2018
Diagnostic Tests, Routine Machine Learning
View on PubMed DOI

Assessment of Functional Phosphatidylinositol 3-Kinase Pathway Activity in Cancer Tissue Using Forkhead Box-O Target Gene Expression in a Knowledge-Based Computational Model.

The American journal of pathology Jul 6, 2018
The phosphatidylinositol 3-kinase (PI3K) pathway is commonly activated in cancer. Tumors are potentially sensitive to PI3K pathway inhibitors, but reliable diagnostic tests that assess functional PI3K activity are lacking. Because PI3K pathway activi...
Gene Expression Profiling Computational Biology Superoxide Dismutase Cell Proliferation Phosphorylation Phosphatidylinositol 3-Kinases Forkhead Transcription Factors Knowledge Bases Humans Female Diagnostic Tests, Routine Breast Neoplasms
View on PubMed DOI

Predicting non-melanoma skin cancer via a multi-parameterized artificial neural network.

Scientific reports Jan 26, 2018
Ultraviolet radiation (UVR) exposure and family history are major associated risk factors for the development of non-melanoma skin cancer (NMSC). The objective of this study was to develop and validate a multi-parameterized artificial neural network ...
Female Skin Neoplasms Sensitivity and Specificity Male Humans Neural Networks, Computer Decision Support Techniques Early Diagnosis Middle Aged ROC Curve Diagnostic Tests, Routine
View on PubMed DOI

Evaluation of a Urine-Based Rapid Molecular Diagnostic Test with Potential to Be Used at Point-of-Care for Pulmonary Tuberculosis: Cape Town Cohort.

The Journal of molecular diagnostics : JMD Dec 18, 2017
Tuberculosis (TB) diagnosis among sputum-scarce patients is time consuming. Thus, a nonsputum diagnostic alternative is urgently needed. The Mycobacterium tuberculosis-specific transrenal (Tr) DNA from urine is a potential target for TB diagnostics. ...
Cohort Studies Molecular Diagnostic Techniques DNA, Bacterial Logistic Models Universities Sputum South Africa Male Point-of-Care Systems Middle Aged HIV Infections Risk Factors Diagnostic Tests, Routine Adult Aged Polymerase Chain Reaction Sensitivity and Specificity Humans Aged, 80 and over Microscopy Multivariate Analysis Cross-Sectional Studies Biomarkers Young Adult Tuberculosis, Pulmonary Mycobacterium tuberculosis Female
View on PubMed DOI

Machine Learning in Detection of Undiagnosed Celiac Disease.

Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association Dec 16, 2017
Machine Learning Female Male Diagnostic Tests, Routine Humans Celiac Disease
View on PubMed DOI

Egg Excretion does not Increase after Exercise: Implications for Diagnostic Testing.

The American journal of tropical medicine and hygiene Dec 14, 2017
Children are frequently invited to exercise before micturition, as it is believed that this activity will result in higher egg excretion, and hence, increases sensitivity of microscopic diagnoses. However, the evidence of this recommendation is scan...
Schistosoma haematobium Schistosomiasis haematobia Diagnostic Tests, Routine Parasite Egg Count Zygote Urination Rural Population Cote d'Ivoire Microscopy Female Cross-Sectional Studies Animals Male Exercise Humans Adolescent Child, Preschool Child
View on PubMed DOI

Noninvasive Evaluation of Portal Hypertension Using a Supervised Learning Technique.

Journal of healthcare engineering Oct 12, 2017
Portal hypertension (PHT) is a key event in the evolution of different chronic liver diseases and leads to the morbidity and mortality of patients. The traditional reliable PHT evaluation method is a hepatic venous pressure gradient (HVPG) measuremen...
Hypertension, Portal Portal Pressure Humans Algorithms Supervised Machine Learning Diagnostic Tests, Routine Elasticity Imaging Techniques
View on PubMed DOI

A doubly robust approach for cost-effectiveness estimation from observational data.

Statistical methods in medical research Feb 27, 2017
Estimation of common cost-effectiveness measures, including the incremental cost-effectiveness ratio and the net monetary benefit, is complicated by the need to account for informative censoring and inherent skewness of the data. In addition, since t...
Diagnostic Tests, Routine Radiography, Thoracic Propensity Score Machine Learning Observation Tomography, X-Ray Computed Algorithms Lung Neoplasms Databases, Factual Cost-Benefit Analysis
View on PubMed DOI
Popular Topics
Recent Journals