AIMC Topic: Sensitivity and Specificity

Clear Filters Showing 161 to 170 of 2872 articles

Integration of MRI radiomics and clinical data for preoperative prediction of vascular invasion in breast cancer: A deep learning approach.

Magnetic resonance imaging Jan 27, 2025
BACKGROUND: Accurate preoperative prediction of vascular invasion in breast cancer is crucial for surgical planning and patient management. MRI radiomics has shown promise in enhancing diagnostic precision. This study aims to evaluate the effectivene...
Image Interpretation, Computer-Assisted Preoperative Care Diffusion Magnetic Resonance Imaging Magnetic Resonance Imaging Neoplasm Invasiveness Breast Humans Retrospective Studies Middle Aged Adult Female Deep Learning Sensitivity and Specificity Aged Image Processing, Computer-Assisted Breast Neoplasms Contrast Media Radiomics
View on PubMed DOI

Automatic segmentation and volumetric analysis of intracranial hemorrhages in brain CT images.

European journal of radiology Jan 27, 2025
BACKGROUND: Intracranial hemorrhages (ICH) are life-threatening conditions that require rapid detection and precise subtype classification. Automated segmentation and volumetric analysis using deep learning can enhance clinical decision-making.
Deep Learning Aged Humans Intracranial Hemorrhages Sensitivity and Specificity Tomography, X-Ray Computed Imaging, Three-Dimensional Male Female Radiographic Image Interpretation, Computer-Assisted Middle Aged
View on PubMed DOI

Natural language processing-based classification of early Alzheimer's disease from connected speech.

Alzheimer's & dementia : the journal of the Alzheimer's Association Jan 27, 2025
INTRODUCTION: The automated analysis of connected speech using natural language processing (NLP) emerges as a possible biomarker for Alzheimer's disease (AD). However, it remains unclear which types of connected speech are most sensitive and specific...
Natural Language Processing Alzheimer Disease Humans Female Aged Aged, 80 and over Sensitivity and Specificity Male Speech
View on PubMed DOI

Diagnostic performance of artificial intelligence in detection of renal cell carcinoma: a systematic review and meta-analysis.

BMC cancer Jan 27, 2025
OBJECTIVES: The detection of renal cell carcinoma (RCC) tumors in the earlier stages is of great importance for more effective treatment. Encouraged by the key role of imaging in the management of RCC, we conducted a systematic review and meta-analys...
Artificial Intelligence Algorithms Sensitivity and Specificity Kidney Neoplasms Carcinoma, Renal Cell Humans
View on PubMed DOI

A systematic review and meta-analysis on the performance of convolutional neural networks ECGs in the diagnosis of hypertrophic cardiomyopathy.

Journal of electrocardiology Jan 27, 2025
INTRODUCTION: Hypertrophic cardiomyopathy (HCM) is a leading cause of sudden cardiac death in younger individuals. Accurate diagnosis is crucial for management and improving patient outcomes. The application of convolutional Neural Networks (CNN), a ...
Convolutional Neural Networks Humans Electrocardiography Neural Networks, Computer Cardiomyopathy, Hypertrophic Sensitivity and Specificity
View on PubMed DOI

Effect of artificial intelligence-aided differentiation of adenomatous and non-adenomatous colorectal polyps at CT colonography on radiologists' therapy management.

European radiology Jan 25, 2025
OBJECTIVES: Adenomatous colorectal polyps require endoscopic resection, as opposed to non-adenomatous hyperplastic colorectal polyps. This study aims to evaluate the effect of artificial intelligence (AI)-assisted differentiation of adenomatous and n...
Aged, 80 and over Adult Sensitivity and Specificity Colorectal Neoplasms Retrospective Studies Humans Female Radiographic Image Interpretation, Computer-Assisted Male Artificial Intelligence Aged Middle Aged Colonic Polyps Diagnosis, Differential Adenomatous Polyps Radiologists Colonography, Computed Tomographic
View on PubMed DOI

Automated diagnosis and classification of temporomandibular joint degenerative disease via artificial intelligence using CBCT imaging.

Journal of dentistry Jan 25, 2025
OBJECTIVES: In this study, artificial intelligence (AI) techniques were used to achieve automated diagnosis and classification of temporomandibular joint (TMJ) degenerative joint disease (DJD) on cone beam computed tomography (CBCT) images.
Humans Artificial Intelligence Algorithms Temporomandibular Joint Male Middle Aged Cone-Beam Computed Tomography Female Temporomandibular Joint Disorders Adult Sensitivity and Specificity
View on PubMed DOI

Forensic sex classification by convolutional neural network approach by VGG16 model: accuracy, precision and sensitivity.

International journal of legal medicine Jan 24, 2025
INTRODUCTION: In the reconstructive phase of medico-legal human identification, the sex estimation is crucial in the reconstruction of the biological profile and can be applied both in identifying victims of mass disasters and in the autopsy room. Du...
Female Reproducibility of Results Aged Young Adult Humans Neural Networks, Computer Algorithms Convolutional Neural Networks Adolescent Sex Determination by Skeleton Adult Sensitivity and Specificity Male Middle Aged
View on PubMed DOI

Detecting B-cell lymphoma-6 overexpression status in primary central nervous system lymphoma using multiparametric MRI-based machine learning.

Neuroradiology Jan 24, 2025
PURPOSE: In primary central nervous system lymphoma (PCNSL), B-cell lymphoma-6 (BCL-6) is an unfavorable prognostic biomarker. We aim to non-invasively detect BCL-6 overexpression in PCNSL patients using multiparametric MRI and machine learning techn...
Humans Male Middle Aged Lymphoma Central Nervous System Neoplasms Aged Multiparametric Magnetic Resonance Imaging Machine Learning Adult Proto-Oncogene Proteins c-bcl-6 Retrospective Studies Sensitivity and Specificity Female Biomarkers, Tumor
View on PubMed DOI

AI-assisted radiologists vs. standard double reading for rib fracture detection on CT images: A real-world clinical study.

PloS one Jan 24, 2025
To evaluate the diagnostic accuracy of artificial intelligence (AI) assisted radiologists and standard double-reading in real-world clinical settings for rib fractures (RFs) detection on CT images. This study included 243 consecutive chest trauma pat...
Aged Aged, 80 and over Adult Sensitivity and Specificity Male Middle Aged Radiologists Radiographic Image Interpretation, Computer-Assisted Artificial Intelligence Rib Fractures Tomography, X-Ray Computed Female Humans
View on PubMed DOI
Popular Topics
Recent Journals