AIMC Topic: Sensitivity and Specificity

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Early diagnostic value of home video-based machine learning in autism spectrum disorder: a meta-analysis.

European journal of pediatrics Nov 21, 2024
UNLABELLED: Machine learning (ML) based on remote video has shown ideal diagnostic value in autism spectrum disorder (ASD). Here, we conducted a meta-analysis of the diagnostic value of home video-based ML in ASD. Relevant articles were systematicall...
Sensitivity and Specificity Child Video Recording Early Diagnosis Humans Machine Learning Autism Spectrum Disorder
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A personalized periodontitis risk based on nonimage electronic dental records by machine learning.

Journal of dentistry Nov 19, 2024
OBJECTIVE: This study aimed to develop a machine-learning (ML) model to predict the risk for Periodontal Disease (PD) based on nonimage electronic dental records (EDRs).
Sensitivity and Specificity Female Risk Assessment Humans Risk Factors Male Case-Control Studies Machine Learning Aged Middle Aged Periodontitis Electronic Health Records Adult Dental Records
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Application of Machine Learning to Osteoporosis and Osteopenia Screening Using Hand Radiographs.

The Journal of hand surgery Nov 16, 2024
PURPOSE: Fragility fractures associated with osteoporosis and osteopenia are a common cause of morbidity and mortality. Current methods of diagnosing low bone mineral density require specialized dual x-ray absorptiometry (DXA) scans. Plain hand radio...
Humans Machine Learning Algorithms Bone Density Osteoporosis Absorptiometry, Photon Female Aged ROC Curve Sensitivity and Specificity Mass Screening Male Radiography Middle Aged Bone Diseases, Metabolic
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ResNet-Transformer deep learning model-aided detection of dens evaginatus.

International journal of paediatric dentistry Nov 15, 2024
BACKGROUND: Dens evaginatus is a dental morphological developmental anomaly. Failing to detect it may lead to tubercles fracture and pulpal/periapical disease. Consequently, early detection and intervention of dens evaginatus are significant to prese...
Humans Female Child, Preschool Child Radiography, Panoramic Dens in Dente Sensitivity and Specificity Male Deep Learning Adolescent
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Non-invasive multiple cancer screening using trained detection canines and artificial intelligence: a prospective double-blind study.

Scientific reports Nov 15, 2024
The specificity and sensitivity of a simple non-invasive multi-cancer screening method in detecting breast, lung, prostate, and colorectal cancer in breath samples were evaluated in a double-blind study. Breath samples of 1386 participants (59.7% mal...
Early Detection of Cancer Double-Blind Method Prostatic Neoplasms Dogs Male Middle Aged Neoplasms Colorectal Neoplasms Lung Neoplasms Breast Neoplasms Animals Humans Female Artificial Intelligence Prospective Studies Aged Adult Sensitivity and Specificity
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Artificial intelligence in fracture detection on radiographs: a literature review.

Japanese journal of radiology Nov 14, 2024
Fractures are one of the most common reasons of admission to emergency department affecting individuals of all ages and regions worldwide that can be misdiagnosed during radiologic examination. Accurate and timely diagnosis of fracture is crucial for...
Sensitivity and Specificity Fractures, Bone Radiography Radiographic Image Interpretation, Computer-Assisted Humans Artificial Intelligence Algorithms
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Human identification via digital palatal scans: a machine learning validation pilot study.

BMC oral health Nov 14, 2024
BACKGROUND: This study aims to validate a machine learning algorithm previously developed in a training population on a different randomly chosen population (i.e., test set). The discrimination potential of the palatal intraoral scan-based geometric ...
Male Middle Aged Pilot Projects Forensic Anthropology Reproducibility of Results Adult Sensitivity and Specificity Palate Humans Machine Learning Female
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Development of a Deep Learning Model for Classification of Hepatic Steatosis from Clinical Standard Ultrasound.

Ultrasound in medicine & biology Nov 12, 2024
OBJECTIVE: Early detection and monitoring of hepatic steatosis can help establish appropriate preventative measures against progression to more advanced disease. We aimed to develop a deep learning (DL) program for classification of hepatic steatosis...
Middle Aged Deep Learning Ultrasonography Aged Liver Adult Humans Fatty Liver Sensitivity and Specificity Retrospective Studies Male Female
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Diagnostic performance of an artificial intelligence model for the detection of pneumothorax at chest X-ray.

Clinical imaging Nov 12, 2024
PURPOSE: Pneumothorax (PTX) is a common clinical urgency, its diagnosis is usually performed on chest radiography (CXR), and it presents a setting where artificial intelligence (AI) methods could find terrain in aiding radiologists in facing increasi...
Pneumothorax Male Middle Aged Radiographic Image Interpretation, Computer-Assisted Radiography, Thoracic Young Adult Adult Sensitivity and Specificity Female Humans Reproducibility of Results Artificial Intelligence Aged Retrospective Studies Aged, 80 and over Tomography, X-Ray Computed
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Expert level of detection of interictal discharges with a deep neural network.

Epilepsia Nov 12, 2024
OBJECTIVE: Deep learning methods have shown potential in automating the detection of interictal epileptiform discharges (IEDs) in electroencephalography (EEG). We compared IED detection using our previously trained deep neural network with a group of...
Electroencephalography Epilepsy Sensitivity and Specificity Male Deep Learning Humans Neural Networks, Computer Female
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