AIMC Topic: Sensitivity and Specificity

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IoMT-Enabled Computer-Aided Diagnosis of Pulmonary Embolism from Computed Tomography Scans Using Deep Learning.

Sensors (Basel, Switzerland) Jan 28, 2023
The Internet of Medical Things (IoMT) has revolutionized Ambient Assisted Living (AAL) by interconnecting smart medical devices. These devices generate a large amount of data without human intervention. Learning-based sophisticated models are require...
Sensitivity and Specificity Diagnosis, Computer-Assisted Tomography, X-Ray Computed Humans Computers Deep Learning Pulmonary Embolism
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Using deep learning to detect diabetic retinopathy on handheld non-mydriatic retinal images acquired by field workers in community settings.

Scientific reports Jan 25, 2023
Diabetic retinopathy (DR) at risk of vision loss (referable DR) needs to be identified by retinal screening and referred to an ophthalmologist. Existing automated algorithms have mostly been developed from images acquired with high cost mydriatic ret...
Diabetes Mellitus Mass Screening Diagnostic Imaging Sensitivity and Specificity Deep Learning Photography Mydriatics Retina Diabetic Retinopathy Prospective Studies Humans
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Investigation of optimal convolutional neural network conditions for thyroid ultrasound image analysis.

Scientific reports Jan 24, 2023
Neural network models have been used to analyze thyroid ultrasound (US) images and stratify malignancy risk of the thyroid nodules. We investigated the optimal neural network condition for thyroid US image analysis. We compared scratch and transfer l...
Humans Neural Networks, Computer Sensitivity and Specificity Predictive Value of Tests Ultrasonography Thyroid Nodule
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Deep Learning for Differentiation of Breast Masses Detected by Screening Ultrasound Elastography.

Ultrasound in medicine & biology Jan 19, 2023
Recently, deep learning using convolutional neural networks (CNNs) has yielded consistent results in image-pattern recognition. This study was aimed at investigating the effectiveness of deep learning using CNNs to differentiate benign and malignant ...
Elasticity Imaging Techniques Female Humans Diagnosis, Differential Sensitivity and Specificity Retrospective Studies Ultrasonography, Mammary Deep Learning ROC Curve Breast Neoplasms
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Application of Deep Learning Model in the Sonographic Diagnosis of Uterine Adenomyosis.

International journal of environmental research and public health Jan 18, 2023
BACKGROUND: This study aims to evaluate the diagnostic performance of Deep Learning (DL) machine for the detection of adenomyosis on uterine ultrasonographic images and compare it to intermediate ultrasound skilled trainees.
Endometriosis Adenomyosis Deep Learning Ultrasonography Uterus Female Sensitivity and Specificity Humans
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Prediction of postoperative infection in elderly using deep learning-based analysis: an observational cohort study.

Aging clinical and experimental research Jan 4, 2023
Elderly patients are susceptible to postoperative infections with increased mortality. Analyzing with a deep learning model, the perioperative factors that could predict and/or contribute to postoperative infections may improve the outcome in elderly...
Humans Retrospective Studies Postoperative Complications Deep Learning Cohort Studies Aged Sensitivity and Specificity Risk Factors
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A Deep Learning Workflow for Mass-Forming Intrahepatic Cholangiocarcinoma and Hepatocellular Carcinoma Classification Based on MRI.

Current oncology (Toronto, Ont.) Dec 30, 2022
OBJECTIVE: Precise classification of mass-forming intrahepatic cholangiocarcinoma (MF-ICC) and hepatocellular carcinoma (HCC) based on magnetic resonance imaging (MRI) is crucial for personalized treatment strategy. The purpose of the present study w...
Bile Duct Neoplasms Cholangiocarcinoma Bile Ducts, Intrahepatic Humans Magnetic Resonance Imaging Liver Neoplasms Deep Learning Workflow Carcinoma, Hepatocellular Sensitivity and Specificity
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A Smartphone-Based Platform Assisted by Artificial Intelligence for Reading and Reporting Rapid Diagnostic Tests: Evaluation Study in SARS-CoV-2 Lateral Flow Immunoassays.

JMIR public health and surveillance Dec 30, 2022
BACKGROUND: Rapid diagnostic tests (RDTs) are being widely used to manage COVID-19 pandemic. However, many results remain unreported or unconfirmed, altering a correct epidemiological surveillance.
Humans Artificial Intelligence COVID-19 SARS-CoV-2 Pandemics Sensitivity and Specificity Smartphone Immunoassay
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NCSP-PLM: An ensemble learning framework for predicting non-classical secreted proteins based on protein language models and deep learning.

Mathematical biosciences and engineering : MBE Dec 28, 2022
Non-classical secreted proteins (NCSPs) refer to a group of proteins that are located in the extracellular environment despite the absence of signal peptides and motifs. They usually play different roles in intercellular communication. Therefore, the...
Sensitivity and Specificity Deep Learning Proteins Neural Networks, Computer Language
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The Role of a Deep Learning-Based Computer-Aided Diagnosis System and Elastography in Reducing Unnecessary Breast Lesion Biopsies.

Clinical breast cancer Dec 23, 2022
OBJECTIVES: Ultrasound examination has inter-observer and intra-observer variability and a high false-positive rate. The aim of this study was to evaluate the value of the combined use of a deep learning-based computer-aided diagnosis (CAD) system an...
Retrospective Studies Biopsy Humans Female Breast Neoplasms Computers Ultrasonography, Mammary Sensitivity and Specificity Deep Learning Elasticity Imaging Techniques
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