AIMC Topic: Sensitivity and Specificity

Clear Filters Showing 901 to 910 of 2877 articles

Improving the Performance of Radiologists Using Artificial Intelligence-Based Detection Support Software for Mammography: A Multi-Reader Study.

Korean journal of radiology Apr 4, 2022
OBJECTIVE: To evaluate whether artificial intelligence (AI) for detecting breast cancer on mammography can improve the performance and time efficiency of radiologists reading mammograms.
Artificial Intelligence Software Retrospective Studies Humans Breast Neoplasms Mammography Radiologists Female Sensitivity and Specificity
View on PubMed DOI

Deep learning for caries detection: A systematic review.

Journal of dentistry Mar 30, 2022
OBJECTIVES: Detecting caries lesions is challenging for dentists, and deep learning models may help practitioners to increase accuracy and reliability. We aimed to systematically review deep learning studies on caries detection.
Dental Caries Susceptibility Deep Learning Dental Caries Reproducibility of Results Sensitivity and Specificity Humans
View on PubMed DOI

Categorized contrast enhanced mammography dataset for diagnostic and artificial intelligence research.

Scientific data Mar 30, 2022
Contrast-enhanced spectral mammography (CESM) is a relatively recent imaging modality with increased diagnostic accuracy compared to digital mammography (DM). New deep learning (DL) models were developed that have accuracies equal to that of an avera...
Diffusion Magnetic Resonance Imaging Breast Diseases Humans Female Sensitivity and Specificity Artificial Intelligence Mammography Databases, Factual
View on PubMed DOI

Detection of signs of disease in external photographs of the eyes via deep learning.

Nature biomedical engineering Mar 29, 2022
Retinal fundus photographs can be used to detect a range of retinal conditions. Here we show that deep-learning models trained instead on external photographs of the eyes can be used to detect diabetic retinopathy (DR), diabetic macular oedema and po...
Sensitivity and Specificity Humans Diabetic Retinopathy Retinal Diseases Deep Learning Fundus Oculi
View on PubMed DOI

Artificial Intelligence in Fracture Detection: A Systematic Review and Meta-Analysis.

Radiology Mar 29, 2022
Background Patients with fractures are a common emergency presentation and may be misdiagnosed at radiologic imaging. An increasing number of studies apply artificial intelligence (AI) techniques to fracture detection as an adjunct to clinician diagn...
Sensitivity and Specificity Humans Artificial Intelligence Fractures, Bone Algorithms
View on PubMed DOI

Diagnostic Accuracy of Wireless Capsule Endoscopy in Polyp Recognition Using Deep Learning: A Meta-Analysis.

International journal of clinical practice Mar 19, 2022
AIM: As the completed studies have small sample sizes and different algorithms, a meta-analysis was conducted to assess the accuracy of WCE in identifying polyps using deep learning.
Prospective Studies Deep Learning Sensitivity and Specificity Capsule Endoscopy Humans Algorithms
View on PubMed DOI

Comparison and verification of two deep learning models for the detection of chest CT rib fractures.

Acta radiologica (Stockholm, Sweden : 1987) Mar 18, 2022
BACKGROUND: A high false-positive rate remains a technical glitch hindering the broad spectrum of application of deep-learning-based diagnostic tools in routine radiological practice from assisting in diagnosing rib fractures.
Rib Fractures Retrospective Studies Humans Deep Learning Thorax Tomography, X-Ray Computed Sensitivity and Specificity
View on PubMed DOI

Diagnostic Accuracy of Artificial Intelligence in Glaucoma Screening and Clinical Practice.

Journal of glaucoma Mar 18, 2022
PURPOSE: Artificial intelligence (AI) has been shown as a diagnostic tool for glaucoma detection through imaging modalities. However, these tools are yet to be deployed into clinical practice. This meta-analysis determined overall AI performance for ...
Bias Glaucoma Artificial Intelligence Sensitivity and Specificity Intraocular Pressure Algorithms Humans
View on PubMed DOI

Dense, deep learning-based intracranial aneurysm detection on TOF MRI using two-stage regularized U-Net.

Journal of neuroradiology = Journal de neuroradiologie Mar 17, 2022
BACKGROUND AND PURPOSE: The prevalence of unruptured intracranial aneurysms in the general population is high and aneurysms are usually asymptomatic. Their diagnosis is often fortuitous on MRI and might be difficult and time consuming for the radiolo...
Intracranial Aneurysm Magnetic Resonance Angiography Angiography, Digital Subtraction Retrospective Studies Sensitivity and Specificity Humans Imaging, Three-Dimensional Deep Learning Magnetic Resonance Imaging
View on PubMed DOI

Deep learning method with a convolutional neural network for image classification of normal and metastatic axillary lymph nodes on breast ultrasonography.

Japanese journal of radiology Mar 14, 2022
PURPOSE: To investigate the ability of deep learning (DL) using convolutional neural networks (CNNs) for distinguishing between normal and metastatic axillary lymph nodes on ultrasound images by comparing the diagnostic performance of radiologists.
Humans Ultrasonography, Mammary Breast Neoplasms Deep Learning Lymph Nodes Lymphatic Metastasis Ultrasonography Female Sensitivity and Specificity Neural Networks, Computer Retrospective Studies
View on PubMed DOI
Popular Topics
Recent Journals