AIMC Topic: Sensitivity and Specificity

Clear Filters Showing 2551 to 2560 of 2922 articles

Identification of Ulcers and Erosions by the Novel Pillcam™ Crohn's Capsule Using a Convolutional Neural Network: A Multicentre Pilot Study.

Journal of Crohn's & colitis Jan 28, 2022
BACKGROUND AND AIMS: Capsule endoscopy is a central element in the management of patients with suspected or known Crohn's disease. In 2017, PillCam™ Crohn's Capsule was introduced and demonstrated to have greater accuracy in the evaluation of extensi...
Crohn Disease Capsule Endoscopy Intestine, Small Colon Pilot Projects Intestinal Mucosa Ulcer Neural Networks, Computer Sensitivity and Specificity Humans
View on PubMed DOI

Convolutional neural network-based artificial intelligence for the diagnosis of early esophageal cancer based on endoscopic images: A meta-analysis.

Saudi journal of gastroenterology : official journal of the Saudi Gastroenterology Association Jan 1, 2022
BACKGROUND: Early screening and treatment of esophageal cancer (EC) is particularly important for the survival and prognosis of patients. However, early EC is difficult to diagnose by a routine endoscopic examination. Therefore, convolutional neural ...
Artificial Intelligence Sensitivity and Specificity ROC Curve Esophageal Neoplasms Humans Neural Networks, Computer
View on PubMed DOI

Transfer Learning of the ResNet-18 and DenseNet-121 Model Used to Diagnose Intracranial Hemorrhage in CT Scanning.

Current pharmaceutical design Jan 1, 2022
OBJECTIVE: The aim of the study was to verify the ability of the deep learning model to identify five subtypes and normal images in non-contrast enhancement CT of intracranial hemorrhage.
Tomography, X-Ray Computed Sensitivity and Specificity Deep Learning Humans Intracranial Hemorrhages
View on PubMed DOI

The diagnostic performance of deep-learning-based CT severity score to identify COVID-19 pneumonia.

The British journal of radiology Jan 1, 2022
OBJECTIVE: To determine the diagnostic accuracy of a deep-learning (DL)-based algorithm using chest computed tomography (CT) scans for the rapid diagnosis of coronavirus disease 2019 (COVID-19), as compared to the reference standard reverse-transcrip...
Retrospective Studies Tomography, X-Ray Computed Female Reproducibility of Results Humans COVID-19 Image Processing, Computer-Assisted False Negative Reactions False Positive Reactions Radiography, Thoracic Male Severity of Illness Index Deep Learning Aged Adult Sensitivity and Specificity
View on PubMed DOI

Single-Examination Risk Prediction of Severe Retinopathy of Prematurity.

Pediatrics Dec 1, 2021
BACKGROUND AND OBJECTIVES: Retinopathy of prematurity (ROP) is a leading cause of childhood blindness. Screening and treatment reduces this risk, but requires multiple examinations of infants, most of whom will not develop severe disease. Previous wo...
Risk Retinopathy of Prematurity Predictive Value of Tests Area Under Curve Birth Weight Fundus Oculi Early Diagnosis Gestational Age Sensitivity and Specificity Severity of Illness Index Logistic Models Humans Artificial Intelligence Infant, Newborn
View on PubMed DOI

Machine Learning-based Sleep Staging in Patients with Sleep Apnea Using a Single Mandibular Movement Signal.

American journal of respiratory and critical care medicine Nov 15, 2021
Adult Sensitivity and Specificity Male Sleep Apnea Syndromes Pattern Recognition, Automated Middle Aged Mandible Algorithms Prospective Studies Female Humans Machine Learning Polysomnography Sleep Stages
View on PubMed DOI

Improving protein fold recognition using triplet network and ensemble deep learning.

Briefings in bioinformatics Nov 5, 2021
Protein fold recognition is a critical step toward protein structure and function prediction, aiming at providing the most likely fold type of the query protein. In recent years, the development of deep learning (DL) technique has led to massive adva...
Deep Learning Protein Conformation Computational Biology Algorithms Databases, Protein Protein Folding Proteins Reproducibility of Results Neural Networks, Computer Models, Molecular Sensitivity and Specificity
View on PubMed DOI

Blind microscopy image denoising with a deep residual and multiscale encoder/decoder network.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
In computer-aided diagnosis (CAD) focused on microscopy, denoising improves the quality of image analysis. In general, the accuracy of this process may depend both on the experience of the microscopist and on the equipment sensitivity and specificity...
Microscopy Neural Networks, Computer Sensitivity and Specificity Diagnosis, Computer-Assisted Image Processing, Computer-Assisted
View on PubMed DOI

A deep learning algorithm for detecting acute myocardial infarction.

EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology Oct 20, 2021
BACKGROUND: Delayed diagnosis or misdiagnosis of acute myocardial infarction (AMI) is not unusual in daily practice. Since a 12-lead electrocardiogram (ECG) is crucial for the detection of AMI, a systematic algorithm to strengthen ECG interpretation ...
Retrospective Studies Humans Sensitivity and Specificity Electrocardiography Deep Learning Algorithms Myocardial Infarction Troponin I
View on PubMed DOI

Deep and accurate detection of m6A RNA modifications using miCLIP2 and m6Aboost machine learning.

Nucleic acids research Sep 20, 2021
N6-methyladenosine (m6A) is the most abundant internal RNA modification in eukaryotic mRNAs and influences many aspects of RNA processing. miCLIP (m6A individual-nucleotide resolution UV crosslinking and immunoprecipitation) is an antibody-based appr...
RNA, Messenger HEK293 Cells RNA Processing, Post-Transcriptional Methyltransferases Animals Humans Nucleotide Motifs RNA-Seq Machine Learning Adenosine Mice Sensitivity and Specificity Mouse Embryonic Stem Cells
View on PubMed DOI
Popular Topics
Recent Journals