AIMC Topic: Sensitivity and Specificity

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Using deep learning for estimation of time-since-injury in pediatric accidental fractures.

Pediatric radiology Apr 22, 2025
BACKGROUND: Estimating time-since-injury of healing fractures is imprecise, encompassing excessively wide timeframes. Most injured children are evaluated at non-children's hospitals, yet pediatric radiologists can disagree with up to one in six skele...
Humans Retrospective Studies Female Infant, Newborn Child, Preschool Child Fractures, Bone Radiographic Image Interpretation, Computer-Assisted Sensitivity and Specificity Male Infant Deep Learning Accidental Injuries
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Machine learning to risk stratify chest pain patients with non-diagnostic electrocardiogram in an Asian emergency department.

Annals of the Academy of Medicine, Singapore Apr 22, 2025
INTRODUCTION: Elevated troponin, while essential for diagnosing myocardial infarction, can also be present in non-myocardial infarction conditions. The myocardial-ischaemic-injury-index (MI3) algorithm is a machine learning algorithm that considers a...
Sensitivity and Specificity Humans Chest Pain Male Acute Coronary Syndrome Electrocardiography Machine Learning Middle Aged Troponin I Emergency Service, Hospital Algorithms Female Risk Assessment Singapore Aged Myocardial Infarction Adult
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Diabetic retinopathy detection based on mobile maxout network and weber local descriptor feature selection using retinal fundus image.

Scientific reports Apr 22, 2025
Retinal screening provides for earlier detection of diabetic retinopathy (DR) as well as prompt diagnosis. Recognizing DR utilizing color fundus imaging needs qualified specialists to know about the presence and significance of a few insignificant fe...
Sensitivity and Specificity Convolutional Neural Networks Humans Retina Datasets as Topic Diabetic Retinopathy
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Development of an Artificial Intelligence-Enabled Electrocardiography to Detect 23 Cardiac Arrhythmias and Predict Cardiovascular Outcomes.

Journal of medical systems Apr 22, 2025
Arrhythmias are common and can affect individuals with or without structural heart disease. Deep learning models (DLMs) have shown the ability to recognize arrhythmias using 12-lead electrocardiograms (ECGs). However, the limited types of arrhythmias...
Heart Failure Arrhythmias, Cardiac Atrial Fibrillation Deep Learning ROC Curve Electrocardiography Humans Aged Artificial Intelligence Sensitivity and Specificity Algorithms Male Female Middle Aged
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Combining Ultrasound Imaging and Molecular Testing in a Multimodal Deep Learning Model for Risk Stratification of Indeterminate Thyroid Nodules.

Thyroid : official journal of the American Thyroid Association Apr 21, 2025
Indeterminate cytology (Bethesda III and IV) represents 15-30% of biopsied thyroid nodules and require additional diagnostic testing. Molecular testing (MT) is a commonly used diagnostic tool that evaluatesmalignancy risk through next generation seq...
Biopsy, Fine-Needle Male Female Humans Middle Aged Aged Retrospective Studies Risk Assessment Adult Thyroid Neoplasms Deep Learning Sensitivity and Specificity Ultrasonography Thyroid Nodule Predictive Value of Tests
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Machine Learning-Based Diagnostic Prediction Model Using T1-Weighted Striatal Magnetic Resonance Imaging for Early-Stage Parkinson's Disease Detection.

Academic radiology Apr 18, 2025
RATIONALE AND OBJECTIVES: Diagnosing Parkinson's disease (PD) typically relies on clinical evaluations, often detecting it in advanced stages. Recently, artificial intelligence has increasingly been applied to imaging for neurodegenerative disorders....
Retrospective Studies Female Aged Sensitivity and Specificity Humans Machine Learning Parkinson Disease Male Image Interpretation, Computer-Assisted Middle Aged Early Diagnosis Case-Control Studies Putamen Magnetic Resonance Imaging
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Diagnosis Test Accuracy of Artificial Intelligence for Endometrial Cancer: Systematic Review and Meta-Analysis.

Journal of medical Internet research Apr 18, 2025
BACKGROUND: Endometrial cancer is one of the most common gynecological tumors, and early screening and diagnosis are crucial for its treatment. Research on the application of artificial intelligence (AI) in the diagnosis of endometrial cancer is incr...
Artificial Intelligence Female Sensitivity and Specificity ROC Curve Early Detection of Cancer Endometrial Neoplasms Humans
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Deep Learning-Driven Abbreviated Shoulder MRI Protocols: Diagnostic Accuracy in Clinical Practice.

Tomography (Ann Arbor, Mich.) Apr 17, 2025
BACKGROUND: Deep learning (DL) reconstruction techniques have shown promise in reducing MRI acquisition times while maintaining image quality. However, the impact of different acceleration factors on diagnostic accuracy in shoulder MRI remains unexpl...
Middle Aged Humans Deep Learning Aged Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Shoulder Joint Prospective Studies Adult Observer Variation Rotator Cuff Injuries Female Sensitivity and Specificity Shoulder Reproducibility of Results Male Edema
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Aptamer-functionalized graphene quantum dots combined with artificial intelligence detect bacteria for urinary tract infections.

Frontiers in cellular and infection microbiology Apr 16, 2025
OBJECTIVES: Urinary tract infection is one of the most prevalent forms of bacterial infection, and prompt and efficient identification of pathogenic bacteria plays a pivotal role in the management of urinary tract infections. In this study, we propos...
Aptamers, Nucleotide Humans Graphite Biosensing Techniques Limit of Detection Artificial Intelligence Escherichia coli Urinary Tract Infections Sensitivity and Specificity Quantum Dots Escherichia coli Infections
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Diagnosis accuracy of machine learning for idiopathic pulmonary fibrosis: a systematic review and meta-analysis.

European journal of medical research Apr 15, 2025
BACKGROUND: The diagnosis of idiopathic pulmonary fibrosis (IPF) is complex, which requires lung biopsy, if necessary, and multidisciplinary discussions with specialists. Clinical diagnosis of the two ailments is particularly challenging due to the i...
Tomography, X-Ray Computed Sensitivity and Specificity Idiopathic Pulmonary Fibrosis Humans Machine Learning
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