AIMC Topic: Sensitivity and Specificity

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Predicting radiation pneumonitis in lung cancer using machine learning and multimodal features: a systematic review and meta-analysis of diagnostic accuracy.

BMC cancer Nov 5, 2024
OBJECTIVES: To evaluate the diagnostic accuracy of machine learning models incorporating multimodal features for predicting radiation pneumonitis in lung cancer through a systematic review and meta-analysis.
Sensitivity and Specificity Lung Neoplasms Humans Radiation Pneumonitis Machine Learning
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An improved AlexNet deep learning method for limb tumor cancer prediction and detection.

Biomedical physics & engineering express Nov 5, 2024
Synovial sarcoma (SS) is a rare cancer that forms in soft tissues around joints, and early detection is crucial for improving patient survival rates. This study introduces a convolutional neural network (CNN) using an improved AlexNet deep learning c...
Sensitivity and Specificity Deep Learning Image Processing, Computer-Assisted Area Under Curve Humans Neural Networks, Computer Algorithms Extremities Sarcoma, Synovial
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Artificial intelligence-aided colonoscopic differential diagnosis between Crohn's disease and gastrointestinal tuberculosis.

Journal of gastroenterology and hepatology Nov 4, 2024
BACKGROUND AND AIM: Differentiating between Crohn's disease (CD) and gastrointestinal tuberculosis (GITB) is challenging. We aimed to evaluate the clinical applicability of an artificial intelligence (AI) model for this purpose.
Crohn Disease Cross-Over Studies Tuberculosis, Gastrointestinal Colonoscopy Diagnosis, Computer-Assisted Diagnosis, Differential Sensitivity and Specificity Male Middle Aged Humans Young Adult Adult Artificial Intelligence Female
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Automated Detection of Oral Malignant Lesions Using Deep Learning: Scoping Review and Meta-Analysis.

Oral diseases Nov 3, 2024
OBJECTIVE: Oral diseases, specifically malignant lesions, are serious global health concerns requiring early diagnosis for effective treatment. In recent years, deep learning (DL) has emerged as a powerful tool for the automated detection and classif...
Deep Learning Mouth Neoplasms Humans Sensitivity and Specificity
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Combination of Deep Learning Grad-CAM and Radiomics for Automatic Localization and Diagnosis of Architectural Distortion on DBT.

Academic radiology Nov 3, 2024
RATIONALE AND OBJECTIVES: Detection and diagnosis of architectural distortion (AD) on digital breast tomosynthesis (DBT) is challenging. This study applied artificial intelligence (AI) using deep learning (DL) algorithms to detect AD, followed by rad...
Mammography Retrospective Studies Breast Neoplasms Radiographic Image Interpretation, Computer-Assisted Female Aged Humans Middle Aged Radiomics Adult Algorithms Deep Learning Sensitivity and Specificity
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Accuracy of machine learning in diagnosing microsatellite instability in gastric cancer: A systematic review and meta-analysis.

International journal of medical informatics Nov 2, 2024
BACKGROUND: Significant challenges persist in the early identification of microsatellite instability (MSI) within current clinical practice. In recent years, with the growing utilization of machine learning (ML) in the diagnosis and management of gas...
Microsatellite Instability Machine Learning Humans Stomach Neoplasms Sensitivity and Specificity
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Deep Learning and Automatic Differentiation of Pancreatic Lesions in Endoscopic Ultrasound: A Transatlantic Study.

Clinical and translational gastroenterology Nov 1, 2024
INTRODUCTION: Endoscopic ultrasound (EUS) allows for characterization and biopsy of pancreatic lesions. Pancreatic cystic neoplasms (PCN) include mucinous (M-PCN) and nonmucinous lesions (NM-PCN). Pancreatic ductal adenocarcinoma (P-DAC) is the commo...
Neural Networks, Computer Female Aged Adult Humans Carcinoma, Pancreatic Ductal Endosonography Image Interpretation, Computer-Assisted Pancreatic Cyst Pancreas Neuroendocrine Tumors Deep Learning Diagnosis, Differential Pancreatic Neoplasms Sensitivity and Specificity Male Middle Aged
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Applying Deep-Learning Algorithm Interpreting Kidney, Ureter, and Bladder (KUB) X-Rays to Detect Colon Cancer.

Journal of imaging informatics in medicine Oct 31, 2024
Early screening is crucial in reducing the mortality of colorectal cancer (CRC). Current screening methods, including fecal occult blood tests (FOBT) and colonoscopy, are primarily limited by low patient compliance and the invasive nature of the proc...
Aged Sensitivity and Specificity Male Middle Aged Algorithms Humans Retrospective Studies Radiographic Image Interpretation, Computer-Assisted Female Deep Learning Urinary Bladder Colonic Neoplasms Kidney Ureter Early Detection of Cancer
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Machine Learning Differentiates Between Benign and Malignant Parotid Tumors With Contrast-Enhanced Ultrasound Features.

Journal of oral and maxillofacial surgery : official journal of the American Association of Oral and Maxillofacial Surgeons Oct 31, 2024
BACKGROUND: Contrast-enhanced ultrasound (CEUS) is frequently used to distinguish benign parotid tumors (BPTs) from malignant parotid tumors (MPTs). Introducing machine learning may enable clinicians to preoperatively diagnose parotid tumors precisel...
Parotid Neoplasms Sensitivity and Specificity Contrast Media Male Humans Ultrasonography Diagnosis, Differential Middle Aged Machine Learning Female Support Vector Machine Retrospective Studies Aged Adult
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A deep learning algorithm that aids visualization of femoral neck fractures and improves physician training.

Injury Oct 31, 2024
PURPOSE: Missed fractures are the most common radiologic error in clinical practice, and erroneous classification could lead to inappropriate treatment and unfavorable prognosis. Here, we developed a fully automated deep learning model to detect and ...
Female ROC Curve Aged Humans Sensitivity and Specificity Femoral Neck Fractures Middle Aged Radiography Male Deep Learning Clinical Competence Algorithms
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