AIMC Topic: ROC Curve

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Artificial intelligence for diagnosing neoplasia on digital cholangioscopy: development and multicenter validation of a convolutional neural network model.

Endoscopy Feb 13, 2023
BACKGROUND: We aimed to develop a convolutional neural network (CNN) model for detecting neoplastic lesions during real-time digital single-operator cholangioscopy (DSOC) and to clinically validate the model through comparisons with DSOC expert and n...
Humans Neoplasms ROC Curve Predictive Value of Tests Neural Networks, Computer Artificial Intelligence
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NeuroPpred-SVM: A New Model for Predicting Neuropeptides Based on Embeddings of BERT.

Journal of proteome research Feb 7, 2023
Neuropeptides play pivotal roles in different physiological processes and are related to different kinds of diseases. Identification of neuropeptides is of great benefit for studying the mechanism of these physiological processes and the treatment of...
Neuropeptides Support Vector Machine Algorithms Area Under Curve ROC Curve
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Potential of artificial intelligence based on chest computed tomography to predict the nature of part-solid nodules.

The clinical respiratory journal Feb 5, 2023
BACKGROUND: The potential of artificial intelligence (AI) to predict the nature of part-solid nodules based on chest computed tomography (CT) is still under exploration.
Lung Neoplasms Tomography, X-Ray Computed ROC Curve Humans Artificial Intelligence Retrospective Studies
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Autonomous Swallow Segment Extraction Using Deep Learning in Neck-Sensor Vibratory Signals From Patients With Dysphagia.

IEEE journal of biomedical and health informatics Feb 3, 2023
Dysphagia occurs secondary to a variety of underlying etiologies and can contribute to increased risk of adverse events such as aspiration pneumonia and premature mortality. Dysphagia is primarily diagnosed and characterized by instrumental swallowin...
Humans Fluoroscopy Deglutition Disorders Deglutition Deep Learning ROC Curve
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Clinical utility of a deep-learning mortality prediction model for cardiac surgery decision making.

The Journal of thoracic and cardiovascular surgery Feb 2, 2023
OBJECTIVES: The aim of this study using decision curve analysis (DCA) was to evaluate the clinical utility of a deep-learning mortality prediction model for cardiac surgery decision making compared with the European System for Cardiac Operative Risk ...
Cardiac Surgical Procedures ROC Curve Decision Making Retrospective Studies Risk Assessment Deep Learning Hospital Mortality Humans Artificial Intelligence
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Development and evaluation of deep learning algorithms for assessment of acute burns and the need for surgery.

Scientific reports Jan 31, 2023
Assessment of burn extent and depth are critical and require very specialized diagnosis. Automated image-based algorithms could assist in performing wound detection and classification. We aimed to develop two deep-learning algorithms that respectivel...
Burns Humans Deep Learning Algorithms Household Articles ROC Curve
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Detecting dry eye from ocular surface videos based on deep learning.

The ocular surface Jan 26, 2023
OBJECTIVE: To assess the performance of convolutional neural networks (CNNs) for automated diagnosis of dry eye (DE) in patients undergoing video keratoscopy based on single ocular surface video frames.
ROC Curve Humans Dry Eye Syndromes Neural Networks, Computer Retrospective Studies Deep Learning
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Effect of Contrast Level and Image Format on a Deep Learning Algorithm for the Detection of Pneumothorax with Chest Radiography.

Journal of digital imaging Jan 25, 2023
Under the black-box nature in the deep learning model, it is uncertain how the change in contrast level and format affects the performance. We aimed to investigate the effect of contrast level and image format on the effectiveness of deep learning fo...
Pneumothorax Radiography Radiography, Thoracic Retrospective Studies Deep Learning ROC Curve Humans Algorithms
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Recognizing pathology of renal tumor from macroscopic cross-section image by deep learning.

Biomedical engineering online Jan 20, 2023
OBJECTIVES: This study aims to develop and evaluate the deep learning-based classification model for recognizing the pathology of renal tumor from macroscopic cross-section image.
ROC Curve Kidney Neoplasms Humans Retrospective Studies Neural Networks, Computer Deep Learning
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Deep Learning for Differentiation of Breast Masses Detected by Screening Ultrasound Elastography.

Ultrasound in medicine & biology Jan 19, 2023
Recently, deep learning using convolutional neural networks (CNNs) has yielded consistent results in image-pattern recognition. This study was aimed at investigating the effectiveness of deep learning using CNNs to differentiate benign and malignant ...
Retrospective Studies Female Sensitivity and Specificity Breast Neoplasms Humans Diagnosis, Differential Ultrasonography, Mammary Elasticity Imaging Techniques Deep Learning ROC Curve
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