AIMC Topic: ROC Curve

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Deep learning for differential diagnosis of parotid tumors based on 2.5D magnetic resonance imaging.

Annals of medicine Jun 18, 2025
PURPOSE: Accurate preoperative diagnosis of parotid gland tumors (PGTs) is crucial for surgical planning since malignant tumors require more extensive excision. Though fine-needle aspiration biopsy is the diagnostic gold standard, its sensitivity in ...
Humans Retrospective Studies Middle Aged Deep Learning ROC Curve Magnetic Resonance Imaging Female Aged Adult Male Diagnosis, Differential Parotid Gland Parotid Neoplasms Biopsy, Fine-Needle
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DeepRice6mA: A convolutional neural network approach for 6mA site prediction in the rice Genome.

PloS one Jun 18, 2025
As one of the most critical post-replication modifications, N6-methylation (6mA) at adenine residue plays an important role in a variety of biological functions. Existing computational methods for identifying 6mA sites across large genomic regions te...
Adenine Genome, Plant ROC Curve Computational Biology DNA Methylation Oryza Neural Networks, Computer Deep Learning Convolutional Neural Networks
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Application Value of Deep Learning-Based AI Model in the Classification of Breast Nodules.

British journal of hospital medicine (London, England : 2005) Jun 15, 2025
Breast nodules are highly prevalent among women, and ultrasound is a widely used screening tool. However, single ultrasound examinations often result in high false-positive rates, leading to unnecessary biopsies. Artificial intelligence (AI) has dem...
Neural Networks, Computer Artificial Intelligence Retrospective Studies Female Humans Middle Aged Aged ROC Curve Deep Learning Adult Ultrasonography, Mammary Sensitivity and Specificity Breast Breast Neoplasms
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Development and validation of a cardiac surgery-associated acute kidney injury prediction model using the MIMIC-IV database.

PloS one Jun 12, 2025
OBJECTIVE: This study aimed to develop an innovative early prediction model for acute kidney injury (AKI) following cardiac surgery in intensive care unit (ICU) settings, leveraging preoperative and postoperative clinical variables, and to identify k...
ROC Curve Logistic Models Cardiac Surgical Procedures Acute Kidney Injury Intensive Care Units Female Risk Factors Humans Aged Algorithms Male Databases, Factual Middle Aged Retrospective Studies Postoperative Complications
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28-day all-cause mortality in patients with alcoholic cirrhosis: a machine learning prediction model based on the MIMIC-IV.

Clinical and experimental medicine Jun 11, 2025
To develop and validate a machine learning prediction model for 28-day all-cause mortality in patients with alcoholic cirrhosis using data from the MIMIC-IV database. The data of 2134 patients diagnosed with alcoholic cirrhosis (AC) were obtained fro...
Adult Male Middle Aged ROC Curve Liver Cirrhosis, Alcoholic Machine Learning Female Risk Factors Aged Humans
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The value of intratumoral and peritumoral ultrasound radiomics model constructed using multiple machine learning algorithms for non-mass breast cancer.

Scientific reports Jun 6, 2025
To investigate the diagnostic capability of multiple machine learning algorithms combined with intratumoral and peritumoral ultrasound radiomics models for non-massive breast cancer in dense breast backgrounds. Manual segmentation of ultrasound image...
Middle Aged Ultrasonography ROC Curve Ultrasonography, Mammary Aged Nomograms Humans Adult Breast Neoplasms Machine Learning Radiomics Algorithms Female
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Predicting opportunities for improvement in trauma care using machine learning: a retrospective registry-based study at a major trauma centre.

BMJ open Jun 6, 2025
OBJECTIVE: To develop models to predict opportunities for improvement in trauma care and compare the performance of these models to the currently used audit filters.
ROC Curve Logistic Models Registries Quality Improvement Female Adult Humans Male Injury Severity Score Machine Learning Middle Aged Wounds and Injuries Retrospective Studies Trauma Centers
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Research on ischemic stroke risk assessment based on CTA radiomics and machine learning.

BMC medical imaging Jun 5, 2025
BACKGROUND: The study explores the value of a model constructed by integrating CTA-based carotid plaque radiomic features, clinical risk factors, and plaque imaging characteristics for prognosticating the risk of ischemic stroke.
Plaque, Atherosclerotic Computed Tomography Angiography Carotid Artery Diseases Risk Assessment ROC Curve Logistic Models Ischemic Stroke Aged Radiomics Male Middle Aged Machine Learning Prognosis Female Risk Factors Humans
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Predicting carbapenem-resistant Pseudomonas aeruginosa infection risk using XGBoost model and explainability.

Scientific reports Jun 5, 2025
The prevalence and spread of carbapenem-resistant Pseudomonas aeruginosa (CRPA) is a global public health problem. This study aims to identify the risk factors of CRPA infection and construct a machine learning model to provide a prediction tool for ...
Humans Machine Learning Anti-Bacterial Agents Drug Resistance, Bacterial Female Cross Infection Pseudomonas Infections Boosting Machine Learning Algorithms Middle Aged Risk Factors ROC Curve Aged Pseudomonas aeruginosa Adult Carbapenems Male
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AI-delirium guard: Predictive modeling of postoperative delirium in elderly surgical patients.

PloS one Jun 5, 2025
INTRODUCTION: In older patients, postoperative delirium (POD) is a major complication that can result in greater morbidity, longer hospital stays, and higher healthcare expenses. Accurate prediction models for POD can enhance patient outcomes by guid...
Postoperative Complications ROC Curve Delirium Humans Aged Aged, 80 and over Male Machine Learning Female
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