AIMC Topic: Sensitivity and Specificity

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Automatic Detection of Perilunate and Lunate Dislocations on Wrist Radiographs Using Deep Learning.

Plastic and reconstructive surgery Jul 17, 2023
Delayed or missed diagnosis of perilunate or lunate dislocations can lead to significant morbidity. Advances in computer vision provide an opportunity to improve diagnostic performance. In this study, a deep learning algorithm was used for detection ...
Deep Learning Radiography Joint Dislocations Male Middle Aged Lunate Bone Wrist Joint Wrist Injuries Algorithms Retrospective Studies Adult Sensitivity and Specificity Female Humans
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Explainable artificial intelligence to predict and identify prostate cancer tissue by gene expression.

Computer methods and programs in biomedicine Jul 10, 2023
BACKGROUND AND OBJECTIVE: Prostate cancer is one of the most prevalent forms of cancer in men worldwide. Traditional screening strategies such as serum PSA levels, which are not necessarily cancer-specific, or digital rectal exams, which are often in...
Humans Artificial Intelligence Gene Expression Prostatic Neoplasms Sensitivity and Specificity Male
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Deep learning-assisted LI-RADS grading and distinguishing hepatocellular carcinoma (HCC) from non-HCC based on multiphase CT: a two-center study.

European radiology Jul 1, 2023
OBJECTIVES: To develop a deep learning (DL) method that can determine the Liver Imaging Reporting and Data System (LI-RADS) grading of high-risk liver lesions and distinguish hepatocellular carcinoma (HCC) from non-HCC based on multiphase CT.
Magnetic Resonance Imaging Carcinoma, Hepatocellular Retrospective Studies Contrast Media Humans Tomography, X-Ray Computed Deep Learning Sensitivity and Specificity Liver Neoplasms
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Can the Electronic Health Record Predict Risk of Falls in Hospitalized Patients by Using Artificial Intelligence? A Meta-analysis.

Computers, informatics, nursing : CIN Jul 1, 2023
Because of an aging population worldwide, the increasing prevalence of falls and their consequent injuries are becoming a safety, health, and social-care issue among elderly people. We conducted a meta-analysis to investigate the benchmark of predict...
Humans Artificial Intelligence Sensitivity and Specificity Accidental Falls Patients Electronic Health Records Aged
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Deep learning approach for differentiating indeterminate adrenal masses using CT imaging.

Abdominal radiology (New York) Jun 27, 2023
PURPOSE: Distinguishing stage 1-2 adrenocortical carcinoma (ACC) and large, lipid poor adrenal adenoma (LPAA) via imaging is challenging due to overlapping imaging characteristics. This study investigated the ability of deep learning to distinguish A...
Deep Learning Adenoma Adrenal Cortex Neoplasms Adrenal Gland Neoplasms Humans Tomography, X-Ray Computed Retrospective Studies Adrenocortical Adenoma Sensitivity and Specificity Adrenocortical Carcinoma
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ConvCoroNet: a deep convolutional neural network optimized with iterative thresholding algorithm for Covid-19 detection using chest X-ray images.

Journal of biomolecular structure & dynamics Jun 24, 2023
Covid-19 is a global pandemic. Early and accurate detection of positive cases prevent the further spread of this epidemic and help to treat rapidly the infected patients. During the peak of this epidemic, there was an insufficiency of Covid-19 test k...
Humans Neural Networks, Computer COVID-19 SARS-CoV-2 Sensitivity and Specificity Algorithms Radiography, Thoracic
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Using a deep learning neural network for the identification of malignant cells in effusion cytology material.

Cytopathology : official journal of the British Society for Clinical Cytology Jun 23, 2023
AIM: To evaluate the application of an artificial neural network in the detection of malignant cells in effusion samples.
Humans Neural Networks, Computer Sensitivity and Specificity Neoplasms Retrospective Studies Deep Learning
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CoAt-Mixer: Self-attention deep learning framework for left ventricular hypertrophy using electrocardiography.

PloS one Jun 8, 2023
Left ventricular hypertrophy is a significant independent risk factor for all-cause mortality and morbidity, and an accurate diagnosis at an early stage of heart change is clinically significant. Electrocardiography is the most convenient, economical...
Female Deep Learning Humans Retrospective Studies Hypertrophy, Left Ventricular Sensitivity and Specificity Electrocardiography Male
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Using Deep Learning to Detect the Presence and Location of Hemoperitoneum on the Focused Assessment with Sonography in Trauma (FAST) Examination in Adults.

Journal of digital imaging Jun 7, 2023
Abdominal ultrasonography has become an integral component of the evaluation of trauma patients. Internal hemorrhage can be rapidly diagnosed by finding free fluid with point-of-care ultrasound (POCUS) and expedite decisions to perform lifesaving int...
Ultrasonography Hemoperitoneum Focused Assessment with Sonography for Trauma Adult Humans Sensitivity and Specificity Deep Learning
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Deep learning for pneumothorax diagnosis: a systematic review and meta-analysis.

European respiratory review : an official journal of the European Respiratory Society Jun 7, 2023
BACKGROUND: Deep learning (DL), a subset of artificial intelligence (AI), has been applied to pneumothorax diagnosis to aid physician diagnosis, but no meta-analysis has been performed.
Diagnostic Imaging Pneumothorax Sensitivity and Specificity Deep Learning Humans Artificial Intelligence
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