AIMC Topic: Predictive Value of Tests

Clear Filters Showing 1101 to 1110 of 2211 articles

Predicting vaginal birth after previous cesarean: Using machine-learning models and a population-based cohort in Sweden.

Acta obstetricia et gynecologica Scandinavica Oct 31, 2020
INTRODUCTION: Predicting a woman's probability of vaginal birth after cesarean could facilitate the antenatal decision-making process. Having a previous vaginal birth strongly predicts vaginal birth after cesarean. Delivery outcome in women with only...
Sweden Adult Sensitivity and Specificity Predictive Value of Tests Vaginal Birth after Cesarean Humans Machine Learning Prospective Studies Pregnancy Female
View on PubMed DOI

An index based on deep learning-measured spleen volume on CT for the assessment of high-risk varix in B-viral compensated cirrhosis.

European radiology Oct 30, 2020
OBJECTIVES: Deep learning enables an automated liver and spleen volume measurements on CT. The purpose of this study was to develop an index combining liver and spleen volumes and clinical factors for detecting high-risk varices in B-viral compensate...
Spleen Deep Learning Herpesvirus 1, Cercopithecine Liver Cirrhosis Humans Varicose Veins Predictive Value of Tests Retrospective Studies Esophageal and Gastric Varices Tomography, X-Ray Computed
View on PubMed DOI

Automated analysis and detection of abnormalities in transaxial anatomical cardiovascular magnetic resonance images: a proof of concept study with potential to optimize image acquisition.

The international journal of cardiovascular imaging Oct 29, 2020
The large number of available MRI sequences means patients cannot realistically undergo them all, so the range of sequences to be acquired during a scan are protocolled based on clinical details. Adapting this to unexpected findings identified early ...
Humans Neural Networks, Computer Cardiomyopathy, Hypertrophic Reproducibility of Results Automation Magnetic Resonance Imaging Proof of Concept Study Predictive Value of Tests Aorta Pleural Effusion Cardiomyopathy, Dilated Image Interpretation, Computer-Assisted
View on PubMed DOI

Automatic Detection and Scoring of Kidney Stones on Noncontrast CT Images Using S.T.O.N.E. Nephrolithometry: Combined Deep Learning and Thresholding Methods.

Molecular imaging and biology Oct 27, 2020
PURPOSE: To develop and validate a deep learning and thresholding-based model for automatic kidney stone detection and scoring according to S.T.O.N.E. nephrolithometry.
Area Under Curve Pattern Recognition, Automated Kidney Calculi Deep Learning Imaging, Three-Dimensional Contrast Media Humans Predictive Value of Tests Algorithms Retrospective Studies Tomography, X-Ray Computed Female Aged Male Middle Aged Severity of Illness Index
View on PubMed DOI

Validation of a machine learning algorithm for early severe sepsis prediction: a retrospective study predicting severe sepsis up to 48 h in advance using a diverse dataset from 461 US hospitals.

BMC medical informatics and decision making Oct 27, 2020
BACKGROUND: Severe sepsis and septic shock are among the leading causes of death in the United States and sepsis remains one of the most expensive conditions to diagnose and treat. Accurate early diagnosis and treatment can reduce the risk of adverse...
Humans Machine Learning Algorithms Forecasting Time-to-Treatment Retrospective Studies Intensive Care Units Female Time Factors Reproducibility of Results Hospital Mortality Decision Support Systems, Clinical Male Predictive Value of Tests Severity of Illness Index Datasets as Topic Sepsis
View on PubMed DOI

Traditional and New Methods of Bone Age Assessment-An Overview.

Journal of clinical research in pediatric endocrinology Oct 26, 2020
Bone age is one of biological indicators of maturity used in clinical practice and it is a very important parameter of a child’s assessment, especially in paediatric endocrinology. The most widely used method of bone age assessment is by performing a...
Observer Variation Automation Child Development Wrist Joint Age Determination by Skeleton Child Age Factors Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Adolescent Development Hand Bones Female Infant, Newborn Reproducibility of Results Young Adult Male Infant Diagnosis, Computer-Assisted Deep Learning Adolescent Child, Preschool Humans Neural Networks, Computer
View on PubMed DOI

Can artificial intelligence distinguish between malignant and benign mediastinal lymph nodes using sonographic features on EBUS images?

Current medical research and opinion Oct 24, 2020
AIMS: This study aimed to develop a new intelligent diagnostic approach using an artificial neural network (ANN). Moreover, we investigated whether the learning-method-guided quantitative analysis approach adequately described mediastinal lymphadenop...
Ultrasonography Image Processing, Computer-Assisted Lymph Nodes Predictive Value of Tests Mediastinum Young Adult Adult Male Middle Aged Diagnosis, Computer-Assisted Humans Artificial Intelligence Female Aged Aged, 80 and over
View on PubMed DOI

Using Machine Learning to Predict Suicide Attempts in Military Personnel.

Psychiatry research Oct 22, 2020
Identifying predictors of suicide attempts is critical in intervention and prevention efforts, yet finding predictors has proven difficult due to the low base rate and underpowered statistical approaches. The objective of the current study was to use...
Self Report Military Personnel Cognitive Behavioral Therapy Male Humans Suicide, Attempted Machine Learning Suicidal Ideation Female Follow-Up Studies Adult Predictive Value of Tests
View on PubMed DOI

Development of a Malignancy Potential Binary Prediction Model Based on Deep Learning for the Mitotic Count of Local Primary Gastrointestinal Stromal Tumors.

Korean journal of radiology Oct 21, 2020
OBJECTIVE: The mitotic count of gastrointestinal stromal tumors (GIST) is closely associated with the risk of planting and metastasis. The purpose of this study was to develop a predictive model for the mitotic index of local primary GIST, based on d...
Sensitivity and Specificity Humans Gastrointestinal Stromal Tumors ROC Curve Male Retrospective Studies Image Processing, Computer-Assisted Middle Aged Female Multidetector Computed Tomography Contrast Media Deep Learning Aged Predictive Value of Tests Cohort Studies Area Under Curve
View on PubMed DOI

Central Reading of Ulcerative Colitis Clinical Trial Videos Using Neural Networks.

Gastroenterology Oct 21, 2020
BACKGROUND AND AIMS: Endoscopic disease activity scoring in ulcerative colitis (UC) is useful in clinical practice but done infrequently. It is required in clinical trials, where it is expensive and slow because human central readers are needed. A ma...
Aged Young Adult Adult Male Middle Aged Humans Prospective Studies Female Predictive Value of Tests Feasibility Studies Video Recording Image Interpretation, Computer-Assisted Observer Variation Adolescent Treatment Outcome Antibodies, Monoclonal, Humanized Colitis, Ulcerative Intestinal Mucosa Colon Colonoscopy Severity of Illness Index Deep Learning
View on PubMed DOI
Popular Topics
Recent Journals