AIMC Topic: Sensitivity and Specificity

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Mortality Prediction in Patients With Breast Cancer by Artificial Neural Network Model and Elastic Net Regression.

Journal of research in health sciences Dec 25, 2024
BACKGROUND: Breast cancer (BC) is the most common cancer in women, and it is important to identify models that can accurately predict mortality in patients with this cancer. The aim of the present study was to use the elastic net regression and artif...
Middle Aged ROC Curve Area Under Curve Iran Adult Humans Sensitivity and Specificity Neural Networks, Computer Breast Neoplasms Female Cross-Sectional Studies Aged
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Epileptic seizure detection in EEG signals via an enhanced hybrid CNN with an integrated attention mechanism.

Mathematical biosciences and engineering : MBE Dec 25, 2024
Epileptic seizures, a prevalent neurological condition, necessitate precise and prompt identification for optimal care. Nevertheless, the intricate characteristics of electroencephalography (EEG) signals, noise, and the want for real-time analysis re...
Seizures Signal Processing, Computer-Assisted Attention Pattern Recognition, Automated Sensitivity and Specificity Deep Learning Electroencephalography Epilepsy Humans Neural Networks, Computer Machine Learning Algorithms
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Predicting lymph node metastasis in thyroid cancer: systematic review and meta-analysis on the CT/MRI-based radiomics and deep learning models.

Clinical imaging Dec 24, 2024
BACKGROUND: Thyroid cancer, a common endocrine malignancy, has seen increasing incidence, making lymph node metastasis (LNM) a critical factor for recurrence and survival. Radiomics and deep learning (DL) advancements offer the potential for improved...
Deep Learning Thyroid Neoplasms Lymphatic Metastasis Magnetic Resonance Imaging Humans Tomography, X-Ray Computed Sensitivity and Specificity Radiomics
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Ensemble learning-based radiomics model for discriminating brain metastasis from glioblastoma.

European journal of radiology Dec 24, 2024
OBJECTIVE: Differentiating between brain metastasis (BM) and glioblastoma (GBM) preoperatively is challenging due to their similar imaging features on conventional brain MRI. This study aimed to enhance diagnostic accuracy through a machine learning ...
Humans Machine Learning Male Middle Aged Magnetic Resonance Imaging Diagnosis, Differential Ensemble Learning Glioblastoma Adult Retrospective Studies Image Interpretation, Computer-Assisted Sensitivity and Specificity Female Radiomics Reproducibility of Results Brain Neoplasms Aged
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Non-invasive screening for laryngeal cancer using the oral cavity as a proxy for differentiation of laryngeal cancer versus leukoplakia: A novel application of ESS technology and artificial intelligence supported statistical modeling.

American journal of otolaryngology Dec 24, 2024
OBJECTIVE: This preliminary study tested whether non-invasive, remote Elastic Scattering Spectroscopy (ESS) measurements obtained in the oral cavity can be used as a proxy to accurately differentiate between patients with laryngeal cancer versus lary...
Early Detection of Cancer Models, Statistical Diagnosis, Differential Mouth Leukoplakia Spectrum Analysis Laryngeal Neoplasms Aged Sensitivity and Specificity Male Middle Aged Artificial Intelligence Machine Learning Algorithms Female Humans
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Anatomy-centred deep learning improves generalisability and progression prediction in radiographic sacroiliitis detection.

RMD open Dec 23, 2024
PURPOSE: To examine whether incorporating anatomy-centred deep learning can improve generalisability and enable prediction of disease progression.
Area Under Curve Radiography Sacroiliac Joint Sacroiliitis Middle Aged Disease Progression Deep Learning ROC Curve Humans Female Retrospective Studies Adult Sensitivity and Specificity Male
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Comparison and analysis of deep learning models for discriminating longitudinal and oblique vaginal septa based on ultrasound imaging.

BMC medical imaging Dec 23, 2024
BACKGROUND: The longitudinal vaginal septum and oblique vaginal septum are female müllerian duct anomalies that are relatively less diagnosed but severely fertility-threatening in clinical practice. Ultrasound imaging is commonly used to examine the ...
Vagina Urogenital Abnormalities Deep Learning Ultrasonography ROC Curve Diagnosis, Differential Female Adult Sensitivity and Specificity Humans Neural Networks, Computer
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Predicting preterm birth using electronic medical records from multiple prenatal visits.

BMC pregnancy and childbirth Dec 21, 2024
This study aimed to predict preterm birth in nulliparous women using machine learning and easily accessible variables from prenatal visits. Elastic net regularized logistic regression models were developed and evaluated using 5-fold cross-validation ...
Humans Machine Learning Premature Birth Young Adult Adult Sensitivity and Specificity Ultrasonography, Prenatal Electronic Health Records Pregnancy Female Infant, Newborn Area Under Curve Prenatal Care Gestational Age Risk Assessment Cervical Length Measurement Logistic Models Predictive Value of Tests
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CT-based clinical-radiomics model to predict progression and drive clinical applicability in locally advanced head and neck cancer.

European radiology Dec 20, 2024
BACKGROUND: Definitive chemoradiation is the primary treatment for locally advanced head and neck carcinoma (LAHNSCC). Optimising outcome predictions requires validated biomarkers, since TNM8 and HPV could have limitations. Radiomics may enhance risk...
Humans Tomography, X-Ray Computed Female Male Middle Aged Disease Progression Head and Neck Neoplasms Chemoradiotherapy Aged Adult Sensitivity and Specificity Radiomics
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Neural networks for predicting etiological diagnosis of uveitis.

Eye (London, England) Dec 20, 2024
BACKGROUND/OBJECTIVES: The large number and heterogeneity of causes of uveitis make the etiological diagnosis a complex task. The clinician must consider all the information concerning the ophthalmological and extra-ophthalmological features of the p...
Uveitis Male Neural Networks, Computer Humans Middle Aged Young Adult Machine Learning Adolescent Algorithms Female Adult ROC Curve Retrospective Studies Aged Sensitivity and Specificity
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