AIMC Topic: Sensitivity and Specificity

Clear Filters Showing 511 to 520 of 2873 articles

Accuracy of wrist fracture detection on radiographs by artificial intelligence compared to human clinicians. A systematic review and meta-analysis.

European journal of radiology Jun 29, 2024
PURPOSE: The aim of the study is to perform a systematic review and meta-analysis comparing the diagnostic performance of artificial intelligence (AI) and human readers in the detection of wrist fractures.
Scaphoid Bone Wrist Fractures Humans Artificial Intelligence Reproducibility of Results Sensitivity and Specificity Radiography Radius Fractures
View on PubMed DOI

Caries lesions diagnosis with deep convolutional neural network in intraoral QLF images by handheld device.

BMC oral health Jun 29, 2024
OBJECTIVES: This study investigated the effectiveness of a deep convolutional neural network (CNN) in diagnosing and staging caries lesions in quantitative light-induced fluorescence (QLF) images taken by a self-manufactured handheld device.
Quantitative Light-Induced Fluorescence Adolescent Neural Networks, Computer ROC Curve Female Dental Caries Sensitivity and Specificity Young Adult Male Adult Middle Aged Humans
View on PubMed DOI

Evaluation of deep learning algorithms in detecting moyamoya disease: a systematic review and single-arm meta-analysis.

Neurosurgical review Jun 29, 2024
The diagnosis of Moyamoya disease (MMD) relies heavily on imaging, which could benefit from standardized machine learning tools. This study aims to evaluate the diagnostic efficacy of deep learning (DL) algorithms for MMD by analyzing sensitivity, sp...
Humans Algorithms Moyamoya Disease Sensitivity and Specificity Deep Learning
View on PubMed DOI

Evaluation of Dental Plaque Area with Artificial Intelligence Model.

Nigerian journal of clinical practice Jun 29, 2024
OBJECTIVES: This study aims to assess the diagnostic accuracy of an artificial intelligence (AI) system employing deep learning for identifying dental plaque, utilizing a dataset comprising photographs of permanent teeth.
Humans Dental Plaque Male Artificial Intelligence Deep Learning Female Adolescent Sensitivity and Specificity Child
View on PubMed DOI

An rs-fMRI based neuroimaging marker for adult absence epilepsy.

Epilepsy research Jun 28, 2024
OBJECTIVE: Approximately 20-30 % of epilepsy patients exhibit negative findings on routine magnetic resonance imaging, and this condition is known as nonlesional epilepsy. Absence epilepsy (AE) is a prevalent form of nonlesional epilepsy. This study ...
Magnetic Resonance Imaging Brain Mapping Neuroimaging Humans Thalamus Epilepsy, Absence Sensitivity and Specificity Young Adult Putamen Adult Brain Male Support Vector Machine Female
View on PubMed DOI

Comparing machine learning screening approaches using clinical data and cytokine profiles for COVID-19 in resource-limited and resource-abundant settings.

Scientific reports Jun 28, 2024
Accurate screening of COVID-19 infection status for symptomatic patients is a critical public health task. Although molecular and antigen tests now exist for COVID-19, in resource-limited settings, screening tests are often not available. Furthermore...
Adult Sensitivity and Specificity Male Middle Aged Female SARS-CoV-2 Aged Mass Screening COVID-19 Cytokines Humans Machine Learning
View on PubMed DOI

Clinical evaluation of an artificial intelligence-assisted cytological system among screening strategies for a cervical cancer high-risk population.

BMC cancer Jun 27, 2024
BACKGROUND: Primary cervical cancer screening and treating precancerous lesions are effective ways to prevent cervical cancer. However, the coverage rates of human papillomavirus (HPV) vaccines and routine screening are low in most developing countri...
Cytodiagnosis Uterine Cervical Dysplasia Colposcopy ROC Curve Humans Papillomavirus Infections Artificial Intelligence Early Detection of Cancer Adult Uterine Cervical Neoplasms Female Sensitivity and Specificity Middle Aged Young Adult China
View on PubMed DOI

Artificial Intelligence for Otosclerosis Detection: A Pilot Study.

Journal of imaging informatics in medicine Jun 26, 2024
The gold standard for otosclerosis diagnosis, aside from surgery, is high-resolution temporal bone computed tomography (TBCT), but it can be compromised by the small size of the lesions. Many artificial intelligence (AI) algorithms exist, but they ar...
Algorithms Tomography, X-Ray Computed Female Adult Humans Artificial Intelligence Case-Control Studies Pilot Projects Temporal Bone Otosclerosis Sensitivity and Specificity Male Middle Aged
View on PubMed DOI

Automated detection of type 1 ROP, type 2 ROP and A-ROP based on deep learning.

Eye (London, England) Jun 25, 2024
PURPOSE: To provide automatic detection of Type 1 retinopathy of prematurity (ROP), Type 2 ROP, and A-ROP by deep learning-based analysis of fundus images obtained by clinical examination using convolutional neural networks.
Area Under Curve Fundus Oculi Infant, Premature Gestational Age Male Deep Learning ROC Curve Humans Retinopathy of Prematurity Neural Networks, Computer Algorithms Infant, Newborn Retrospective Studies Female Sensitivity and Specificity
View on PubMed DOI

Detecting Mandible Fractures in CBCT Scans Using a 3-Stage Neural Network.

Journal of dental research Jun 24, 2024
After nasal bone fractures, fractures of the mandible are the most frequently encountered injuries of the facial skeleton. Accurate identification of fracture locations is critical for effectively managing these injuries. To address this need, JawFra...
Sensitivity and Specificity Cone-Beam Computed Tomography Imaging, Three-Dimensional Mandibular Fractures Humans Neural Networks, Computer
View on PubMed DOI
Popular Topics
Recent Journals