AIMC Topic: Sensitivity and Specificity

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Evaluation of the impact of artificial intelligence-assisted image interpretation on the diagnostic performance of clinicians in identifying pneumothoraces on plain chest X-ray: a multi-case multi-reader study.

Emergency medicine journal : EMJ Sep 25, 2024
BACKGROUND: Artificial intelligence (AI)-assisted image interpretation is a fast-developing area of clinical innovation. Most research to date has focused on the performance of AI-assisted algorithms in comparison with that of radiologists rather tha...
Male Humans Clinical Competence Artificial Intelligence Radiography, Thoracic Algorithms Pneumothorax Female Sensitivity and Specificity
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Acute cholecystitis diagnosis in the emergency department: an artificial intelligence-based approach.

Langenbeck's archives of surgery Sep 24, 2024
OBJECTIVES: This study aimed to assess the diagnostic performance of a support vector machine (SVM) algorithm for acute cholecystitis and evaluate its effectiveness in accurately diagnosing this condition.
Sensitivity and Specificity Male Middle Aged Support Vector Machine Female Predictive Value of Tests Humans Aged Emergency Service, Hospital Artificial Intelligence Aged, 80 and over Cholecystitis, Acute Algorithms Adult Retrospective Studies
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Skin Cancer Detection in Diverse Skin Tones by Machine Learning Combining Audio and Visual Convolutional Neural Networks.

Oncology Sep 23, 2024
INTRODUCTION: Skin cancer (SC) is common in fair skin (FS) at a 1:5 lifetime incidence for nonmelanoma skin cancer. In order to assist clinicians' decisions, a risk intervention technology was developed, which combines a dual-mode machine learning of...
Skin Neoplasms Aged Humans Adult Sensitivity and Specificity Neural Networks, Computer Machine Learning Skin Pigmentation Male Algorithms Middle Aged Retrospective Studies Convolutional Neural Networks Female ROC Curve Smartphone
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AI-based lumbar central canal stenosis classification on sagittal MR images is comparable to experienced radiologists using axial images.

European radiology Sep 20, 2024
OBJECTIVES: The assessment of lumbar central canal stenosis (LCCS) is crucial for diagnosing and planning treatment for patients with low back pain and neurogenic pain. However, manual assessment methods are time-consuming, variable, and require axia...
Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Radiologists Lumbar Vertebrae Spinal Stenosis Adult Humans Sensitivity and Specificity Artificial Intelligence Male Algorithms Middle Aged Female Reproducibility of Results Aged
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Exploring Deep Learning Applications using Ultrasound Single View Cines in Acute Gallbladder Pathologies: Preliminary Results.

Academic radiology Sep 20, 2024
RATIONALE AND OBJECTIVES: In this preliminary study, we aimed to develop a deep learning model using ultrasound single view cines that distinguishes between imaging of normal gallbladder, non-urgent cholelithiasis, and acute calculous cholecystitis r...
Humans Female Cholecystitis, Acute Middle Aged Aged Cholelithiasis Deep Learning Adult Gallbladder Ultrasonography Sensitivity and Specificity Diagnosis, Differential Male Image Interpretation, Computer-Assisted
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Computer Vision Identification of Trachomatous Inflammation-Follicular Using Deep Learning.

Cornea Sep 20, 2024
PURPOSE: Trachoma surveys are used to estimate the prevalence of trachomatous inflammation-follicular (TF) to guide mass antibiotic distribution. These surveys currently rely on human graders, introducing a significant resource burden and potential f...
Child ROC Curve Ethiopia Conjunctiva Prevalence Humans Photography Diagnosis, Computer-Assisted Neural Networks, Computer Eyelids Deep Learning Reproducibility of Results Female Trachoma Child, Preschool Sensitivity and Specificity Infant, Newborn Male Infant
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Deep learning model for extensive smartphone-based diagnosis and triage of cataracts and multiple corneal diseases.

The British journal of ophthalmology Sep 20, 2024
AIM: To develop an artificial intelligence (AI) algorithm that diagnoses cataracts/corneal diseases from multiple conditions using smartphone images.
Humans Algorithms Female Aged Sensitivity and Specificity Smartphone Triage Cataract Corneal Diseases Male Slit Lamp Microscopy Middle Aged Deep Learning ROC Curve
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Added value of artificial intelligence solutions for arterial stenosis detection on head and neck CT angiography: A randomized crossover multi-reader multi-case study.

Diagnostic and interventional imaging Sep 19, 2024
PURPOSE: The purpose of this study was to investigate the added value of artificial intelligence (AI) solutions for the detection of arterial stenosis (AS) on head and neck CT angiography (CTA).
Cross-Over Studies Head Angiography, Digital Subtraction Computed Tomography Angiography Male Middle Aged Neck Constriction, Pathologic Humans Artificial Intelligence Retrospective Studies Female Aged Aged, 80 and over Adult Sensitivity and Specificity
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Integrated Ultrasound-Enrichment and Machine Learning in Colorimetric Lateral Flow Assay for Accurate and Sensitive Clinical Alzheimer's Biomarker Diagnosis.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Sep 19, 2024
The colloidal gold nanoparticle (AuNP)-based colorimetric lateral flow assay (LFA) is one of the most promising analytical tools for point-of-care disease diagnosis. However, the low sensitivity and insufficient accuracy still limit its clinical appl...
Humans Gold Metal Nanoparticles Point-of-Care Testing Alzheimer Disease tau Proteins Machine Learning Biomarkers Sensitivity and Specificity Colorimetry
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Deep Learning-Based Denoising Enables High-Quality, Fully Diagnostic Neuroradiological Trauma CT at 25% Radiation Dose.

Academic radiology Sep 18, 2024
RATIONALE AND OBJECTIVES: Traumatic neuroradiological emergencies necessitate rapid and accurate diagnosis, often relying on computed tomography (CT). However, the associated ionizing radiation poses long-term risks. Modern artificial intelligence re...
Female Middle Aged Aged Deep Learning Humans Adult Radiographic Image Interpretation, Computer-Assisted Algorithms Sensitivity and Specificity Radiation Dosage Retrospective Studies Male Tomography, X-Ray Computed
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