AIMC Topic: Sensitivity and Specificity

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Diagnostic accuracy of machine learning approaches to identify psoriatic arthritis: a meta-analysis.

Clinical and experimental medicine Aug 9, 2025
While machine learning (ML) approaches are commonly utilized in medical diagnostics, the accuracy of these methods in identifying psoriatic arthritis (PsA) remains uncertain. To evaluate the accuracy of ML approaches in the medical diagnosis of PsA. ...
Machine Learning Sensitivity and Specificity ROC Curve Arthritis, Psoriatic Humans
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Belun Sleep Platform versus in-lab polysomnography for obstructive sleep apnea diagnosis.

Sleep & breathing = Schlaf & Atmung Aug 7, 2025
OBJECTIVE: We aimed to compare the Belun Sleep Platform (BSP), an artificial intelligence-driven home sleep testing device, with polysomnography (PSG) for diagnosing obstructive sleep apnea. The BSP analyzes oxygen saturation, heart rate, and acceler...
Middle Aged Humans Adult Female Sleep Apnea, Obstructive Accelerometry Sensitivity and Specificity Monitoring, Ambulatory Polysomnography Male
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Innovative machine learning approach for liver fibrosis and disease severity evaluation in MAFLD patients using MRI fat content analysis.

Clinical and experimental medicine Aug 5, 2025
This study employed machine learning models to quantitatively analyze liver fat content from MRI images for the evaluation of liver fibrosis and disease severity in patients with metabolic dysfunction-associated fatty liver disease (MAFLD). A total o...
Humans Machine Learning Female Aged Liver Cirrhosis Magnetic Resonance Imaging Liver Non-alcoholic Fatty Liver Disease Middle Aged Adult Severity of Illness Index Sensitivity and Specificity Fatty Liver Male
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Development of a novel deep learning method that transforms tabular input variables into images for the prediction of SLD.

Scientific reports Jul 31, 2025
Steatotic liver disease (SLD), formerly named fatty liver disease, has a prevalence estimated at 30-38% in adults. Detection of SLD is important, since prompt initiation of treatment can stop disease progression, lead to a reduction in adverse outcom...
Image Processing, Computer-Assisted Fatty Liver Non-alcoholic Fatty Liver Disease Adult Sensitivity and Specificity Male Middle Aged Deep Learning ROC Curve Humans Female
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Automating Colon Polyp Classification in Digital Pathology by Evaluation of a "Machine Learning as a Service" AI Model: Algorithm Development and Validation Study.

JMIR formative research Jul 31, 2025
BACKGROUND: Artificial intelligence (AI) models are increasingly being developed to improve the efficiency of pathological diagnoses. Rapid technological advancements are leading to more widespread availability of AI models that can be used by domain...
Humans Artificial Intelligence Machine Learning Algorithms Sensitivity and Specificity Colonic Polyps
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Deep learning for tooth detection and segmentation in panoramic radiographs: a systematic review and meta-analysis.

BMC oral health Jul 30, 2025
BACKGROUND: This systematic review and meta-analysis aimed to summarize and evaluate the available information regarding the performance of deep learning methods for tooth detection and segmentation in orthopantomographies.
Tooth Sensitivity and Specificity Deep Learning Radiography, Panoramic Humans
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Multiple Tumor-related autoantibodies test enhances CT-based deep learning performance in diagnosing lung cancer with diameters < 70 mm: a prospective study in China.

BMC pulmonary medicine Jul 29, 2025
BACKGROUND: Deep learning (DL) demonstrates high sensitivity but low specificity in lung cancer (LC) detection during CT screening, and the seven Tumor-associated antigens autoantibodies (7-TAAbs), known for its high specificity in LC, was employed t...
Early Detection of Cancer Female Autoantibodies Aged Sensitivity and Specificity ROC Curve Middle Aged Humans Male Lung Neoplasms Deep Learning Prospective Studies Antigens, Neoplasm China Tomography, X-Ray Computed
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Evaluating the accuracy of artificial intelligence-powered chest X-ray diagnosis for paediatric pulmonary tuberculosis (EVAL-PAEDTBAID): Study protocol for a multi-centre diagnostic accuracy study.

BMJ open Jul 28, 2025
INTRODUCTION: Diagnosing pulmonary tuberculosis (PTB) in children is challenging owing to paucibacillary disease, non-specific symptoms and signs and challenges in microbiological confirmation. Chest X-ray (CXR) interpretation is fundamental for diag...
Humans Artificial Intelligence Algorithms Prospective Studies Child Multicenter Studies as Topic Infant Radiography, Thoracic South Africa Female Pakistan Adolescent Sensitivity and Specificity Tuberculosis, Pulmonary Child, Preschool Male
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Establishment of AI-assisted diagnosis of the infraorbital posterior ethmoid cells based on deep learning.

BMC medical imaging Jul 21, 2025
OBJECTIVE: To construct an artificial intelligence (AI)-assisted model for identifying the infraorbital posterior ethmoid cells (IPECs) based on deep learning using sagittal CT images.
Middle Aged Humans Adult Deep Learning Artificial Intelligence Ethmoid Sinus Sensitivity and Specificity Retrospective Studies Tomography, X-Ray Computed Male Female Aged
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Development of a clinical decision support system for breast cancer detection using ensemble deep learning.

Scientific reports Jul 18, 2025
Advancements in diagnostic technology are required to improve patient outcomes and facilitate early diagnosis, as breast cancer is a substantial global health concern. This research discusses the creation of a unique Deep Learning (DL) Ensemble Deep ...
Breast Neoplasms Humans Deep Learning Female Decision Support Systems, Clinical Sensitivity and Specificity
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