AIMC Topic: Sensitivity and Specificity

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Application Value of Deep Learning-Based AI Model in the Classification of Breast Nodules.

British journal of hospital medicine (London, England : 2005) Jun 15, 2025
Breast nodules are highly prevalent among women, and ultrasound is a widely used screening tool. However, single ultrasound examinations often result in high false-positive rates, leading to unnecessary biopsies. Artificial intelligence (AI) has dem...
Female Aged Adult Neural Networks, Computer Artificial Intelligence Humans Retrospective Studies Deep Learning ROC Curve Ultrasonography, Mammary Breast Sensitivity and Specificity Breast Neoplasms Middle Aged
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The performance of artificial intelligence in image-based prediction of hematoma enlargement: a systematic review and meta-analysis.

Annals of medicine Jun 11, 2025
BACKGROUND: Accurately predicting hematoma enlargement (HE) is crucial for improving the prognosis of patients with cerebral haemorrhage. Artificial intelligence (AI) is a potentially reliable assistant for medical image recognition. This study syste...
Cerebral Hemorrhage Hematoma Prognosis Humans Tomography, X-Ray Computed Artificial Intelligence Sensitivity and Specificity
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Diagnostic accuracy of machine learning-based magnetic resonance imaging models in breast cancer classification: a systematic review and meta-analysis.

World journal of surgical oncology Jun 11, 2025
OBJECTIVE: This meta-analysis evaluates the diagnostic accuracy of machine learning (ML)-based magnetic resonance imaging (MRI) models in distinguishing benign from malignant breast lesions and explores factors influencing their performance.
Female Sensitivity and Specificity Breast Neoplasms Humans Machine Learning Magnetic Resonance Imaging
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Machine learning driven biomarker selection for medical diagnosis.

PloS one Jun 11, 2025
Recent advances in experimental methods have enabled researchers to collect data on thousands of analytes simultaneously. This has led to correlational studies that associated molecular measurements with diseases such as Alzheimer's, Liver, and Gastr...
Logistic Models Algorithms Biomarkers Humans Sensitivity and Specificity Machine Learning
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Artificial intelligence-based detection of dens invaginatus in panoramic radiographs.

BMC oral health Jun 5, 2025
OBJECTIVE: The aim of this study was to automatically detect teeth with dens invaginatus (DI) in panoramic radiographs using deep learning algorithms and to compare the success of the algorithms.
Dens in Dente Sensitivity and Specificity Humans Deep Learning Artificial Intelligence Radiography, Panoramic Algorithms
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Segmentation of airways and soft tissues on panoramic radiographs using artificial intelligence technology.

BMC oral health Jun 2, 2025
BACKGROUND: Segmentation of airways and soft tissues on panoramic radiographs is a challenging yet crucial task in dental diagnostics, as these regions can often be confused with fractures or other lesions due to superimposition. This study aimed to ...
Tongue Humans Sensitivity and Specificity Artificial Intelligence Image Processing, Computer-Assisted Radiography, Panoramic
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Radiomics-based differentiation of upper urinary tract urothelial and renal cell carcinoma in preoperative computed tomography datasets.

BMC medical imaging May 30, 2025
BACKGROUND: To investigate a non-invasive radiomics-based machine learning algorithm to differentiate upper urinary tract urothelial carcinoma (UTUC) from renal cell carcinoma (RCC) prior to surgical intervention.
Humans Machine Learning Retrospective Studies Tomography, X-Ray Computed Urologic Neoplasms Diagnosis, Differential Carcinoma, Transitional Cell Kidney Neoplasms Carcinoma, Renal Cell Radiomics Male Female Middle Aged Aged Sensitivity and Specificity
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Detecting Tardive Dyskinesia Using Video-Based Artificial Intelligence.

The Journal of clinical psychiatry May 28, 2025
Tardive dyskinesia (TD) is a late-onset adverse effect of dopamine receptor-blocking medications, characterized by involuntary movements primarily affecting the mouth, though other body parts may be involved. Severity of TD varies from mild to debil...
Sensitivity and Specificity Male Middle Aged Female Aged Adult Video Recording Antipsychotic Agents Tardive Dyskinesia Humans Artificial Intelligence Machine Learning
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Two birds with one stone: pre-TAVI coronary CT angiography combined with FFR helps screen for coronary stenosis.

BMC medical imaging May 26, 2025
OBJECTIVES: Since coronary artery disease (CAD) is a common comorbidity in patients with aortic valve stenosis, invasive coronary angiography (ICA) can be avoided if significant CAD can be screened with the non-invasive coronary CT angiography (cCTA)...
Coronary Stenosis Fractional Flow Reserve, Myocardial Transcatheter Aortic Valve Replacement Coronary Angiography Coronary Artery Disease Computed Tomography Angiography Male Aortic Valve Stenosis Predictive Value of Tests Humans Machine Learning Retrospective Studies Aged, 80 and over Sensitivity and Specificity Female Aged
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Atrial fibrillation detection via contactless radio monitoring and knowledge transfer.

Nature communications May 20, 2025
Atrial fibrillation (AF) has been a prevalent and serious arrhythmia associated with increased morbidity and mortality worldwide. The Electrocardiogram (ECG) is considered as the golden standard for AF diagnosis. However, current ECG is primarily use...
Humans Artificial Intelligence Female Sensitivity and Specificity Atrial Fibrillation Male Radar Middle Aged Radio Electrocardiography
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