AIMC Topic: Female

Clear Filters Showing 15521 to 15530 of 29210 articles

Artificial Intelligence Predicts Severity of COVID-19 Based on Correlation of Exaggerated Monocyte Activation, Excessive Organ Damage and Hyperinflammatory Syndrome: A Prospective Clinical Study.

Frontiers in immunology Aug 27, 2021
BACKGROUND: Prediction of the severity of COVID-19 at its onset is important for providing adequate and timely management to reduce mortality.
Aspartate Aminotransferases Female SARS-CoV-2 Male Cytokines HMGB1 Protein Prospective Studies Severity of Illness Index Middle Aged L-Lactate Dehydrogenase Biomarkers Diagnosis, Computer-Assisted Prognosis Alanine Transaminase Monocytes Support Vector Machine Humans COVID-19 Macrophages
View on PubMed DOI

Hybrid deep learning model for risk prediction of fracture in patients with diabetes and osteoporosis.

Frontiers of medicine Aug 26, 2021
The fracture risk of patients with diabetes is higher than those of patients without diabetes due to hyperglycemia, usage of diabetes drugs, changes in insulin levels, and excretion, and this risk begins as early as adolescence. Many factors includin...
Risk Factors Deep Learning Diabetes Mellitus Fractures, Bone Bone Density Osteoporosis Female Humans
View on PubMed DOI

Deep learning takes the pain out of back breaking work - Automatic vertebral segmentation and attenuation measurement for osteoporosis.

Clinical imaging Aug 26, 2021
BACKGROUND: Osteoporosis is an underdiagnosed and undertreated disease worldwide. Recent studies have highlighted the use of simple vertebral trabecular attenuation values for opportunistic osteoporosis screening. Meanwhile, machine learning has been...
Middle Aged Deep Learning Lumbar Vertebrae Absorptiometry, Photon Retrospective Studies Osteoporosis Female Male Humans Bone Density
View on PubMed DOI

NGS and phenotypic ontology-based approaches increase the diagnostic yield in syndromic retinal diseases.

Human genetics Aug 26, 2021
Syndromic retinal diseases (SRDs) are a group of complex inherited systemic disorders, with challenging molecular underpinnings and clinical management. Our main goal is to improve clinical and molecular SRDs diagnosis, by applying a structured pheno...
Genetic Testing High-Throughput Nucleotide Sequencing Retinal Diseases Gene Ontology Molecular Diagnostic Techniques Mutation Syndrome Eye Diseases, Hereditary Ciliopathies Humans Phenotype Prospective Studies Retrospective Studies Female Male Cohort Studies Genetic Association Studies
View on PubMed DOI

Machine Learning-Based Radiomics Signatures for EGFR and KRAS Mutations Prediction in Non-Small-Cell Lung Cancer.

International journal of molecular sciences Aug 26, 2021
Early identification of epidermal growth factor receptor (EGFR) and Kirsten rat sarcoma viral oncogene homolog (KRAS) mutations is crucial for selecting a therapeutic strategy for patients with non-small-cell lung cancer (NSCLC). We proposed a machin...
Humans Machine Learning Algorithms Biomarkers Lung Neoplasms Carcinoma, Non-Small-Cell Lung Neoplasm Staging Mutation Supervised Machine Learning ErbB Receptors Aged, 80 and over Proto-Oncogene Proteins p21(ras) Tomography, X-Ray Computed Male Middle Aged Female ROC Curve Reproducibility of Results Aged
View on PubMed DOI

Explainable machine-learning predictions for complications after pediatric congenital heart surgery.

Scientific reports Aug 26, 2021
The quality of treatment and prognosis after pediatric congenital heart surgery remains unsatisfactory. A reliable prediction model for postoperative complications of congenital heart surgery patients is essential to enable prompt initiation of thera...
Algorithms Prognosis Female Male Humans Machine Learning Models, Cardiovascular ROC Curve Cardiac Surgical Procedures Outcome Assessment, Health Care Heart Defects, Congenital Postoperative Complications Infant Child, Preschool
View on PubMed DOI

Predicting postoperative pain following root canal treatment by using artificial neural network evaluation.

Scientific reports Aug 26, 2021
This study aimed to evaluate the accuracy of back propagation (BP) artificial neural network model for predicting postoperative pain following root canal treatment (RCT). The BP neural network model was developed using MATLAB 7.0 neural network toolb...
Pain, Postoperative Feasibility Studies Root Canal Therapy Humans Sensitivity and Specificity Neural Networks, Computer Male Prognosis Middle Aged Female Pain Measurement Reproducibility of Results Young Adult Adult
View on PubMed DOI

Deep Learning for Intelligent Recognition and Prediction of Endometrial Cancer.

Journal of healthcare engineering Aug 26, 2021
The aim of the study was to investigate the intelligent recognition of radiomics based on the convolutional neural network (CNN) in predicting endometrial cancer (EC). In this study, 158 patients with EC in hospital were selected as the research obje...
Humans Deep Learning Neural Networks, Computer Magnetic Resonance Imaging Female Endometrial Neoplasms
View on PubMed DOI

Multi- class classification of breast cancer abnormalities using Deep Convolutional Neural Network (CNN).

PloS one Aug 26, 2021
The real cause of breast cancer is very challenging to determine and therefore early detection of the disease is necessary for reducing the death rate due to risks of breast cancer. Early detection of cancer boosts increasing the survival chance up t...
Neural Networks, Computer Algorithms Female Humans Breast Neoplasms Reproducibility of Results
View on PubMed DOI

A deep learning-machine learning fusion approach for the classification of benign, malignant, and intermediate bone tumors.

European radiology Aug 25, 2021
OBJECTIVES: To build and validate deep learning and machine learning fusion models to classify benign, malignant, and intermediate bone tumors based on patient clinical characteristics and conventional radiographs of the lesion.
Humans Adult Deep Learning Bone Neoplasms Radiography Machine Learning Retrospective Studies Female Young Adult
View on PubMed DOI
Popular Topics
Recent Journals