AIMC Topic: Sensitivity and Specificity
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Deep Learning Image Reconstruction (DLIR) Algorithm to Maintain High Image Quality and Diagnostic Accuracy in Quadruple-low CT Angiography of Children with Pulmonary Sequestration: A Case Control Study.
Academic radiology
Jul 1, 2025
RATIONALE AND OBJECTIVES: CT angiography (CTA) is a commonly used clinical examination to detect abnormal arteries and diagnose pulmonary sequestration (PS). Reducing the radiation dose, contrast medium dosage, and injection pressure in CTA, especial...
Assessment of biventricular cardiac function using free-breathing artificial intelligence cine with motion correction: Comparison with standard multiple breath-holding cine.
European journal of radiology
Jul 1, 2025
PURPOSE: To assess the image quality and biventricular function utilizing a free-breathing artificial intelligence cine method with motion correction (FB AI MOCO).
Automated Evaluation of D-Score for Facial Dysmorphism Analysis in Central African Children With Developmental Disorders.
Annals of human genetics
Jul 1, 2025
INTRODUCTION: Dysmorphism is an important characteristic, but its evaluation is largely subjective. A good clinical assessment (dysmorphism) can facilitate a more accurate and efficient diagnosis. We therefore evaluated an automated artificial intell...
Establishment of an intelligent analysis system for clinical image features of melanonychia based on deep learning image segmentation.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Jul 1, 2025
Melanonychia, a condition that can be indicative of malignant melanoma, presents a significant challenge in early diagnosis due to the invasive nature and equipment dependency of traditional diagnostic methods such as nail biopsy and dermatoscope ima...
Radiomics analysis of intraoral ultrasonographic images for prediction of late cervical lymph node metastasis in patients with tongue cancer: influence of marginal region.
Dento maxillo facial radiology
Jul 1, 2025
OBJECTIVES: To investigate the predictability of late cervical lymph node metastasis using radiomics analysis of ultrasonographic images of tongue cancer.
CBCT radiomics features combine machine learning to diagnose cystic lesions in the jaw.
Dento maxillo facial radiology
Jul 1, 2025
OBJECTIVE: The aim of this study was to develop a radiomics model based on cone beam CT (CBCT) to differentiate odontogenic cysts (OCs), odontogenic keratocysts (OKCs), and ameloblastomas (ABs).
Derivation and validation of an artificial intelligence-based plaque burden safety cut-off for long-term acute coronary syndrome from coronary computed tomography angiography.
European heart journal. Cardiovascular Imaging
Jun 30, 2025
AIMS: Artificial intelligence (AI) has enabled accurate and fast plaque quantification from coronary computed tomography angiography (CCTA). However, AI detects any coronary plaque in up to 97% of patients. To avoid overdiagnosis, a plaque burden saf...
Artificial Intelligence
Female
Reproducibility of Results
Aged
Humans
Follow-Up Studies
Predictive Value of Tests
Coronary Angiography
Registries
Coronary Artery Disease
Sensitivity and Specificity
Male
Middle Aged
Risk Assessment
Acute Coronary Syndrome
Plaque, Atherosclerotic
Computed Tomography Angiography
A Meta-Analysis of the Diagnostic Test Accuracy of Artificial Intelligence for Predicting Emergency Department Revisits.
Journal of medical systems
Jun 16, 2025
The revisit of the emergency department (ED) is a key indicator of emergency care quality. Various strategies have been proposed to reduce ED revisits, including the use of artificial intelligence (AI) models for prediction. However, AI model perform...
Artificial intelligence and endoanal ultrasound: pioneering automated differentiation of benign anal and sphincter lesions.
Techniques in coloproctology
Jun 10, 2025
BACKGROUND: Anal injuries, such as lacerations and fissures, are challenging to diagnose because of their anatomical complexity. Endoanal ultrasound (EAUS) has proven to be a reliable tool for detailed visualization of anal structures but relies on e...
Rapid Identification and Typing of Carbapenem-Resistant Klebsiella pneumoniae Using MALDI-TOF MS and Machine Learning.
Microbial biotechnology
Jun 1, 2025
Use matrix-assisted laser desorption ionisation time-of-flight mass spectrometry (MALDI-TOF MS) to screen the specific mass peaks of carbapenem-resistant Klebsiella pneumoniae (CRKP), compare the differences in spectrum peaks between intestinal and b...
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