AIMC Topic: Sensitivity and Specificity

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Video Clip Extraction From Fetal Ultrasound Scans Using Artificial Intelligence to Allow Remote Second Expert Review for Congenital Heart Disease.

Prenatal diagnosis Feb 6, 2025
OBJECTIVE: To use artificial intelligence (AI) to automatically extract video clips of the fetal heart from a stream of ultrasound video, and to assess the performance of these when used for remote second review.
Humans Artificial Intelligence Pregnancy Female Fetal Heart Sensitivity and Specificity Ultrasonography, Prenatal Video Recording Heart Defects, Congenital
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Enhancing deep learning methods for brain metastasis detection through cross-technique annotations on SPACE MRI.

European radiology experimental Feb 6, 2025
BACKGROUND: Gadolinium-enhanced "sampling perfection with application-optimized contrasts using different flip angle evolution" (SPACE) sequence allows better visualization of brain metastases (BMs) compared to "magnetization-prepared rapid acquisiti...
Magnetic Resonance Imaging Female Image Interpretation, Computer-Assisted Aged Organometallic Compounds Adult Humans Sensitivity and Specificity Algorithms Retrospective Studies Middle Aged Brain Neoplasms Deep Learning Male Contrast Media
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Deep learning opportunistic screening for osteoporosis and osteopenia using radiographs of the foot or ankle - A pilot study.

European journal of radiology Feb 4, 2025
BACKGROUND: The gold standard method for diagnosing low bone mineral density (BMD) is using dual-energy X-ray absorptiometry (DXA) however, most patients with low BMD are often not screened. We aimed to create a deep learning (DL) model to screen for...
Bone Diseases, Metabolic Absorptiometry, Photon Foot Ankle Deep Learning Retrospective Studies Humans Sensitivity and Specificity Pilot Projects Osteoporosis Bone Density Mass Screening Cross-Sectional Studies Female Radiography Aged Male Middle Aged
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Machine learning for predicting severe dengue in Puerto Rico.

Infectious diseases of poverty Feb 4, 2025
BACKGROUND: Distinguishing between non-severe and severe dengue is crucial for timely intervention and reducing morbidity and mortality. World Health Organization (WHO)-recommended warning signs offer a practical approach for clinicians but have limi...
Dengue Severe Dengue Puerto Rico Adult Sensitivity and Specificity Male Middle Aged Adolescent Child, Preschool Child ROC Curve Machine Learning Female Aged Young Adult Humans
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Automatic cervical lymph nodes detection and segmentation in heterogeneous computed tomography images using deep transfer learning.

Scientific reports Feb 4, 2025
To develop a deep learning model using transfer learning for automatic detection and segmentation of neck lymph nodes (LNs) in computed tomography (CT) images, the study included 11,013 annotated LNs with a short-axis diameter ≥ 3 mm from 626 head an...
Tomography, X-Ray Computed Female Sensitivity and Specificity Male Humans Head and Neck Neoplasms Neck Lymphatic Metastasis Middle Aged Deep Learning Image Processing, Computer-Assisted Lymph Nodes
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Radiomics Analysis of Different Machine Learning Models based on Multiparametric MRI to Identify Benign and Malignant Testicular Lesions.

Academic radiology Feb 3, 2025
RATIONALE AND OBJECTIVES: To develop and validate a machine learning-based prediction model for the use of multiparametric magnetic resonance imaging(MRI) to predict benign and malignant lesions in the testis.
Aged Young Adult Adult Sensitivity and Specificity Humans Machine Learning Retrospective Studies Contrast Media Testicular Neoplasms Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Multiparametric Magnetic Resonance Imaging Radiomics Male Middle Aged Adolescent
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[Use of Artificial Intelligence in Diabetic Retinopathy Screening: Experience in a Health Service in Santiago, Chile].

Revista medica de Chile Feb 3, 2025
UNLABELLED: Early detection of diabetic retinopathy is critical for preventing vision loss.
Male Photography Reproducibility of Results Humans Aged Middle Aged Diabetic Retinopathy Adult Mass Screening Sensitivity and Specificity Artificial Intelligence Chile Female
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Deep learning for automated hip fracture detection and classification : achieving superior accuracy.

The bone & joint journal Feb 1, 2025
AIMS: The aim of this study was to develop and evaluate a deep learning-based model for classification of hip fractures to enhance diagnostic accuracy.
Humans Radiography Aged, 80 and over Hip Fractures Neural Networks, Computer Sensitivity and Specificity Retrospective Studies Male Female Deep Learning Aged
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Optimizing Skin Cancer Diagnosis: A Modified Ensemble Convolutional Neural Network for Classification.

Microscopy research and technique Jan 31, 2025
Skin cancer is recognized as one of the most harmful cancers worldwide. Early detection of this cancer is an effective measure for treating the disease efficiently. Traditional skin cancer detection methods face scalability challenges and overfitting...
Convolutional Neural Networks Humans Neural Networks, Computer Algorithms Skin Neoplasms Sensitivity and Specificity Deep Learning
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Developing an interpretable machine learning model for diagnosing gout using clinical and ultrasound features.

European journal of radiology Jan 31, 2025
OBJECTIVE: To develop a machine learning (ML) model using clinical data and ultrasound features for gout prediction, and apply SHapley Additive exPlanations (SHAP) for model interpretation.
Middle Aged Ultrasonography Aged Uric Acid Humans Gout Adult Image Interpretation, Computer-Assisted Machine Learning Metatarsophalangeal Joint Sensitivity and Specificity Female Male
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