AIMC Topic: Sensitivity and Specificity

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An end-to-end interpretable machine-learning-based framework for early-stage diagnosis of gallbladder cancer using multi-modality medical data.

BMC cancer Jul 16, 2025
BACKGROUND: The accurate early-stage diagnosis of gallbladder cancer (GBC) is regarded as one of the major challenges in the field of oncology. However, few studies have focused on the comprehensive classification of GBC based on multiple modalities....
Neoplasm Staging Female Gallbladder Neoplasms Aged Adult Sensitivity and Specificity Male Middle Aged Early Detection of Cancer Multimodal Imaging Humans Machine Learning Retrospective Studies Tomography, X-Ray Computed
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Evaluation of Artificial Intelligence-based diagnosis for facial fractures, advantages compared with conventional imaging diagnosis: a systematic review and meta-analysis.

BMC musculoskeletal disorders Jul 15, 2025
BACKGROUND: Currently, the application of convolutional neural networks (CNNs) in artificial intelligence (AI) for medical imaging diagnosis has emerged as a highly promising tool. In particular, AI-assisted diagnosis holds significant potential for ...
Humans Neural Networks, Computer Artificial Intelligence Sensitivity and Specificity Skull Fractures Facial Bones
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Establishing an AI-based diagnostic framework for pulmonary nodules in computed tomography.

BMC pulmonary medicine Jul 12, 2025
BACKGROUND: Pulmonary nodules seen by computed tomography (CT) can be benign or malignant, and early detection is important for optimal management. The existing manual methods of identifying nodules have limitations, such as being time-consuming and ...
Support Vector Machine Multiple Pulmonary Nodules Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Sensitivity and Specificity Deep Learning Lung Neoplasms Neural Networks, Computer Artificial Intelligence Algorithms Humans
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Deep learning algorithm for identifying osteopenia/osteoporosis using cervical radiography.

Scientific reports Jul 12, 2025
Due to symptomatic gait imbalance and a high incidence of falls, patients with cervical disease-including degenerative cervical myelopathy-have a significantly increased risk of fragility fractures. To prevent such fractures in patients with cervical...
Sensitivity and Specificity Male Middle Aged Deep Learning Osteoporosis Female Aged Femur Neck Radiography Cervical Vertebrae Lumbar Vertebrae Bone Diseases, Metabolic Humans Neural Networks, Computer Algorithms
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Intralesional and perilesional radiomics strategy based on different machine learning for the prediction of international society of urological pathology grade group in prostate cancer.

BMC medical imaging Jul 4, 2025
OBJECTIVE: To develop and evaluate a intralesional and perilesional radiomics strategy based on different machine learning model to differentiate International Society of Urological Pathology (ISUP) grade > 2 group and ISUP ≤ 2 prostate cancers (PCa)...
Radiomics Male Humans Middle Aged Prostatic Neoplasms Machine Learning Magnetic Resonance Imaging Neoplasm Grading Aged Prostatectomy Sensitivity and Specificity
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Can circadian rhythms of heart rate variability identify major depressive disorder? - A study based on support vector machine analysis.

Asian journal of psychiatry Jul 3, 2025
BACKGROUND: Major depressive disorder (MDD) is a prevalent and severe psychiatric condition for which objective diagnostic tools are lacking. Heart rate variability (HRV), an index of autonomic nervous system (ANS) function, has shown potential for d...
Female Young Adult Adult Sensitivity and Specificity Humans Support Vector Machine Circadian Rhythm Heart Rate Autonomic Nervous System Male Middle Aged Depressive Disorder, Major Electrocardiography
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Artificial intelligence-assisted endobronchial ultrasound for differentiating between benign and malignant thoracic lymph nodes: a meta-analysis.

BMC pulmonary medicine Jul 2, 2025
BACKGROUND: Endobronchial ultrasound (EBUS) is a widely used imaging modality for evaluating thoracic lymph nodes (LNs), particularly in the staging of lung cancer. Artificial intelligence (AI)-assisted EBUS has emerged as a promising tool to enhance...
Humans Artificial Intelligence Sensitivity and Specificity ROC Curve Lung Neoplasms Lymph Nodes Lymphatic Metastasis Bronchoscopy Diagnosis, Differential Endosonography
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A ubiquitous and interoperable deep learning model for automatic detection of pleomorphic gastroesophageal lesions.

Scientific reports Jul 2, 2025
In recent years, artificial intelligence (AI) has been widely explored to enhance capsule endoscopy (CE), with the goal of improving the efficiency of the reading process. While most AI models have been developed for small bowel and colon analysis, t...
Capsule Endoscopy Male Middle Aged Deep Learning Esophageal Neoplasms Female Aged Humans Sensitivity and Specificity Neural Networks, Computer
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Ultrasound-based machine learning model to predict the risk of endometrial cancer among postmenopausal women.

BMC medical imaging Jul 1, 2025
BACKGROUND: Current ultrasound-based screening for endometrial cancer (EC) primarily relies on endometrial thickness (ET) and morphological evaluation, which suffer from low specificity and high interobserver variability. This study aimed to develop ...
Middle Aged Algorithms Humans Deep Learning Female Neural Networks, Computer Endometrium Ultrasonography Aged Machine Learning Image Interpretation, Computer-Assisted Sensitivity and Specificity Postmenopause Endometrial Neoplasms
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Multimodal deep learning-based radiomics for meningioma consistency prediction: integrating T1 and T2 MRI in a multi-center study.

BMC medical imaging Jul 1, 2025
BACKGROUND: Meningioma consistency critically impacts surgical planning, as soft tumors are easier to resect than hard tumors. Current assessments of tumor consistency using MRI are subjective and lack quantitative accuracy. Integrating deep learning...
Aged Adult Sensitivity and Specificity Radiomics Humans Retrospective Studies Female Meningioma Meningeal Neoplasms Male Middle Aged Deep Learning Magnetic Resonance Imaging
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