AIMC Topic: Sensitivity and Specificity
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The accuracy of artificial intelligence in predicting COVID-19 patient mortality: a systematic review and meta-analysis.
BMC medical informatics and decision making
Aug 9, 2023
BACKGROUND: The purpose of this paper was to systematically evaluate the application value of artificial intelligence in predicting mortality among COVID-19 patients.
Remote Blood Oxygen Estimation From Videos Using Neural Networks.
IEEE journal of biomedical and health informatics
Aug 7, 2023
Peripheral blood oxygen saturation (SpO ) is an essential indicator of respiratory functionality and received increasing attention during the COVID-19 pandemic. Clinical findings show that COVID-19 patients can have significantly low SpO before any ...
Two-tiered deep-learning-based model for histologic diagnosis of Helicobacter gastritis.
Histopathology
Jul 31, 2023
AIMS: Helicobacter pylori (HP) infection is the most common cause of chronic gastritis worldwide. Due to the small size of HP and limited resolution, diagnosing HP infections is more difficult when using digital slides.
The accuracy of artificial intelligence used for non-melanoma skin cancer diagnoses: a meta-analysis.
BMC medical informatics and decision making
Jul 28, 2023
BACKGROUND: With rising incidence of skin cancer and relatively increased mortality rates, an improved diagnosis of such a potentially fatal disease is of vital importance. Although frequently curable, it nevertheless places a considerable burden upo...
Automatic Myocardial Contrast Echocardiography Image Quality Assessment Using Deep Learning: Impact on Myocardial Perfusion Evaluation.
Ultrasound in medicine & biology
Jul 24, 2023
OBJECTIVE: The image quality of myocardial contrast echocardiography (MCE) is critical for precise myocardial perfusion evaluation but challenging for echocardiographers. Differences in quality may lead to diagnostic heterogeneity. This study was aim...
Perceiving placental ultrasound image texture evolution during pregnancy with normal and adverse outcome through machine learning prism.
Placenta
Jul 24, 2023
INTRODUCTION: The objective was to perform placental ultrasound image texture (UPIA) in first (T1), second(T2) and third(T3) trimesters of pregnancy using machine learning( ML).
Deep learning-based automatic detection for pulmonary nodules on chest radiographs: The relationship with background lung condition, nodule characteristics, and location.
European journal of radiology
Jul 22, 2023
PURPOSE: Computer-aided diagnosis (CAD), which assists in the interpretation of chest radiographs, is becoming common. However, few studies have evaluated the benefits and pitfalls of CAD in the real world. This study aimed to evaluate the independen...
Performance of deep learning-based autodetection of arterial stenosis on head and neck CT angiography: an independent external validation study.
La Radiologia medica
Jul 18, 2023
PURPOSE: To externally validate the performance of automated stenosis detection on head and neck CT angiography (CTA) and investigate the impact factors using an independent bi-center dataset with digital subtraction angiography (DSA) as the ground t...
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 ...
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...
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