AIMC Topic: Sensitivity and Specificity

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Mask region-based convolutional neural network and VGG-16 inspired brain tumor segmentation.

Scientific reports Jul 30, 2024
The process of brain tumour segmentation entails locating the tumour precisely in images. Magnetic Resonance Imaging (MRI) is typically used by doctors to find any brain tumours or tissue abnormalities. With the use of region-based Convolutional Neur...
Image Interpretation, Computer-Assisted Sensitivity and Specificity Humans Brain Neoplasms Neural Networks, Computer Image Processing, Computer-Assisted Algorithms Magnetic Resonance Imaging
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Deep learning-based automatic ASPECTS calculation can improve diagnosis efficiency in patients with acute ischemic stroke: a multicenter study.

European radiology Jul 27, 2024
OBJECTIVES: The Alberta Stroke Program Early CT Score (ASPECTS), a systematic method for assessing ischemic changes in acute ischemic stroke using non-contrast computed tomography (NCCT), is often interpreted relying on expert experience and can vary...
Retrospective Studies Tomography, X-Ray Computed Female Reproducibility of Results Aged Humans Prospective Studies Deep Learning Ischemic Stroke Radiographic Image Interpretation, Computer-Assisted Aged, 80 and over Sensitivity and Specificity Male Middle Aged
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An artificial intelligence platform for the screening and managing of strabismus.

Eye (London, England) Jul 27, 2024
OBJECTIVES: Considering the escalating incidence of strabismus and its consequential jeopardy to binocular vision, there is an imperative demand for expeditious and precise screening methods. This study was to develop an artificial intelligence (AI) ...
Humans Artificial Intelligence Female Young Adult Adult Sensitivity and Specificity Male Middle Aged Child Infant Strabismus Adolescent Vision, Binocular Child, Preschool Vision Screening
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Differentiation of tuberculous and brucellar spondylitis using conventional MRI-based deep learning algorithms.

European journal of radiology Jul 27, 2024
PURPOSE: To investigate the feasibility of deep learning (DL) based on conventional MRI to differentiate tuberculous spondylitis (TS) from brucellar spondylitis (BS).
Feasibility Studies Tuberculosis, Spinal Spondylitis Humans Algorithms Female Aged Young Adult Middle Aged Adult Deep Learning Sensitivity and Specificity Brucellosis Male Magnetic Resonance Imaging Diagnosis, Differential
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Development of Clinically Validated Artificial Intelligence Model for Detecting ST-segment Elevation Myocardial Infarction.

Annals of emergency medicine Jul 26, 2024
STUDY OBJECTIVE: Although the importance of primary percutaneous coronary intervention has been emphasized for ST-segment elevation myocardial infarction (STEMI), the appropriateness of the cardiac catheterization laboratory activation remains subopt...
Percutaneous Coronary Intervention Electrocardiography Neural Networks, Computer ST Elevation Myocardial Infarction Artificial Intelligence Coronary Angiography Prospective Studies Registries Republic of Korea Humans Female Aged Sensitivity and Specificity Male Middle Aged
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Diagnostic Performance of Machine Learning-based Models in Neonatal Sepsis: A Systematic Review.

The Pediatric infectious disease journal Jul 26, 2024
BACKGROUND: Timely diagnosis of neonatal sepsis is challenging. We aimed to systematically evaluate the diagnostic performance of sophisticated machine learning (ML) techniques for the prediction of neonatal sepsis.
ROC Curve Neonatal Sepsis Machine Learning Algorithms Infant, Newborn Sensitivity and Specificity Humans
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Ultrasound-based deep learning radiomics nomogram for differentiating mass mastitis from invasive breast cancer.

BMC medical imaging Jul 26, 2024
BACKGROUND: The purpose of this study is to develop and validate the potential value of the deep learning radiomics nomogram (DLRN) based on ultrasound to differentiate mass mastitis (MM) and invasive breast cancer (IBC).
Diagnosis, Differential Ultrasonography, Mammary Adult Sensitivity and Specificity Breast Neoplasms Radiomics Middle Aged Deep Learning ROC Curve Mastitis Nomograms Humans Female Aged
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Endoscopic Artificial Intelligence for Image Analysis in Gastrointestinal Neoplasms.

Digestion Jul 26, 2024
BACKGROUND: Artificial intelligence (AI) using deep learning systems has recently been utilized in various medical fields. In the field of gastroenterology, AI is primarily implemented in image recognition and utilized in the realm of gastrointestina...
Adenocarcinoma Colorectal Neoplasms Humans Endoscopy, Gastrointestinal Esophageal Squamous Cell Carcinoma Diagnosis, Computer-Assisted Artificial Intelligence Gastrointestinal Neoplasms Endoscopy, Digestive System Deep Learning Stomach Neoplasms Esophageal Neoplasms Image Processing, Computer-Assisted Sensitivity and Specificity
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Enabling AI-Generated Content for Gadolinium-Free Contrast-Enhanced Breast Magnetic Resonance Imaging.

Journal of magnetic resonance imaging : JMRI Jul 25, 2024
BACKGROUND: There is increasing interest in utilizing AI-generated content for gadolinium-free contrast-enhanced breast MRI.
Humans Artificial Intelligence Diffusion Magnetic Resonance Imaging Middle Aged Imaging, Three-Dimensional Image Processing, Computer-Assisted Contrast Media Algorithms Magnetic Resonance Imaging Retrospective Studies Breast Aged Female Image Interpretation, Computer-Assisted Adult Reproducibility of Results Gadolinium Sensitivity and Specificity Image Enhancement Breast Neoplasms
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Comparison of Explainable Artificial Intelligence Model and Radiologist Review Performances to Detect Breast Cancer in 752 Patients.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine Jul 25, 2024
OBJECTIVES: Breast cancer is a type of cancer caused by the uncontrolled growth of cells in the breast tissue. In a few cases, erroneous diagnosis of breast cancer by specialists and unnecessary biopsies can lead to various negative consequences. In ...
Reproducibility of Results Aged Aged, 80 and over Young Adult Diagnosis, Differential Adult Radiologists Humans Ultrasonography, Mammary Artificial Intelligence Breast Female Image Interpretation, Computer-Assisted Sensitivity and Specificity Breast Neoplasms Middle Aged Adolescent
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