AIMC Topic: Sensitivity and Specificity

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Prediction of Seronegative Hashimoto's thyroiditis using machine learning models based on ultrasound radiomics: a multicenter study.

BMC immunology Apr 7, 2025
BACKGROUND: Seronegative Hashimoto's thyroiditis is often underdiagnosed due to the lack of antibody markers. Combining ultrasound radiomics with machine learning offers potential for early detection in patients with normal thyroid function.
Sensitivity and Specificity Female Radiomics Aged Male Humans Ultrasonography Middle Aged Adult Machine Learning Thyroid Gland Hashimoto Disease Retrospective Studies
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Virtual lung screening trial (VLST): An in silico study inspired by the national lung screening trial for lung cancer detection.

Medical image analysis Apr 5, 2025
Clinical imaging trials play a crucial role in advancing medical innovation but are often costly, inefficient, and ethically constrained. Virtual Imaging Trials (VITs) present a solution by simulating clinical trial components in a controlled, risk-f...
Humans Lung Neoplasms Early Detection of Cancer Radiography, Thoracic Sensitivity and Specificity Computer Simulation Middle Aged Male Tomography, X-Ray Computed Deep Learning Female
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Chatbots for conducting systematic reviews in pediatric dentistry.

Journal of dentistry Apr 5, 2025
OBJECTIVES: The performance of chatbots for discrete steps of a systematic review (SR) on artificial intelligence (AI) in pediatric dentistry was evaluated.
Humans Generative Artificial Intelligence Bias Artificial Intelligence Systematic Reviews as Topic Sensitivity and Specificity Pediatric Dentistry Child
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Artificial neural networks applied to somatosensory evoked potentials for migraine classification.

The journal of headache and pain Apr 4, 2025
BACKGROUND: Finding a biomarker to diagnose migraine remains a significant challenge in the headache field. Migraine patients exhibit dynamic and recurrent alterations in the brainstem-thalamo-cortical loop, including reduced thalamocortical activity...
Young Adult Adult Sensitivity and Specificity Male Humans Middle Aged Electroencephalography Neural Networks, Computer Migraine Disorders Evoked Potentials, Somatosensory Female Principal Component Analysis
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Accuracy of artificial intelligence in caries detection: a systematic review and meta-analysis.

Head & face medicine Apr 4, 2025
INTRODUCTION: Artificial intelligence (AI) has significantly transformed the diagnosis and treatment of dental caries, a prevalent issue in oral health care. Traditional diagnostic procedures such as eye inspection and radiography have limitations in...
Sensitivity and Specificity Dental Caries Humans Artificial Intelligence
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Machine learning fusion for glioma tumor detection.

Scientific reports Apr 2, 2025
The early detection of brain tumors is very important for treating them and improving the quality of life for patients. Through advanced imaging techniques, doctors can now make more informed decisions. This paper introduces a framework for a tumor d...
Brain Neoplasms Male Middle Aged Magnetic Resonance Imaging Deep Learning Glioma Machine Learning Female Sensitivity and Specificity Humans
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Deep Learning-Based Reconstruction for Accelerated Cervical Spine MRI: Utility in the Evaluation of Myelopathy and Degenerative Diseases.

AJNR. American journal of neuroradiology Apr 2, 2025
BACKGROUND AND PURPOSE: Deep learning (DL)-based reconstruction enables improving the quality of MR images acquired with a short scan time. We aimed to prospectively compare the image quality and diagnostic performance in evaluating cervical degenera...
Adult Sensitivity and Specificity Male Middle Aged Prospective Studies Female Aged Image Interpretation, Computer-Assisted Signal-To-Noise Ratio Spinal Cord Diseases Deep Learning Magnetic Resonance Imaging Cervical Vertebrae Humans
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Improved unsupervised 3D lung lesion detection and localization by fusing global and local features: Validation in 3D low-dose computed tomography.

Medical image analysis Apr 1, 2025
Unsupervised anomaly detection (UAD) is crucial in low-dose computed tomography (LDCT). Recent AI technologies, leveraging global features, have enabled effective UAD with minimal training data of normal patients. However, this approach, devoid of ut...
Unsupervised Machine Learning Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Lung Imaging, Three-Dimensional Lung Neoplasms Humans Algorithms Tomography, X-Ray Computed Sensitivity and Specificity
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Detecting cognitive impairment in cerebrovascular disease using gait, dual tasks, and machine learning.

BMC medical informatics and decision making Apr 1, 2025
BACKGROUND: Cognitive impairment is common after a stroke, but it can often go undetected. In this study, we investigated whether using gait and dual tasks could help detect cognitive impairment after stroke.
Humans Cognitive Dysfunction Support Vector Machine Gait Neuropsychological Tests Machine Learning Aged, 80 and over Female Cerebrovascular Disorders Sensitivity and Specificity Male Aged Gait Analysis Middle Aged
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Comparative analysis of deep learning architectures for thyroid eye disease detection using facial photographs.

BMC ophthalmology Apr 1, 2025
PURPOSE: To compare two artificial intelligence (AI) models, residual neural networks ResNet-50 and ResNet-101, for screening thyroid eye disease (TED) using frontal face photographs, and to test these models under clinical conditions.
Male Middle Aged Deep Learning Photography ROC Curve Face Humans Aged Neural Networks, Computer Adult Graves Ophthalmopathy Sensitivity and Specificity Female
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