AIMC Topic: ROC Curve

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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.
Carotid Artery Diseases Male Logistic Models Middle Aged Humans Ischemic Stroke Female Risk Assessment Machine Learning Plaque, Atherosclerotic ROC Curve Risk Factors Prognosis Computed Tomography Angiography Aged Radiomics
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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 ...
Boosting Machine Learning Algorithms Drug Resistance, Bacterial Female Pseudomonas aeruginosa Humans Adult Risk Factors Carbapenems Male Machine Learning Aged Cross Infection Middle Aged Anti-Bacterial Agents Pseudomonas Infections ROC Curve
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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...
ROC Curve Delirium Aged Aged, 80 and over Male Postoperative Complications Humans Machine Learning Female
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Machine learning models for predicting severe acute kidney injury in patients with sepsis-induced myocardial injury.

Scientific reports Jun 4, 2025
Severe acute kidney injury (sAKI) is a prevalent and serious complication among patients with sepsis-induced myocardial injury (SIMI). Prompt and early prediction of sAKI has an important role in timely intervention, ultimately improving the patients...
Humans Machine Learning Retrospective Studies Acute Kidney Injury Intensive Care Units Female Aged ROC Curve Male Cardiomyopathies Middle Aged Sepsis
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Development of a machine learning-based model to predict urethral recurrence following radical cystectomy: a multicentre retrospective study and updated meta-analysis.

Scientific reports Jun 4, 2025
Urethral recurrence (UR) following radical cystectomy for bladder cancer represents an aggressive disease failure with typically poor survival outcomes. Our study aimed to assess the predictive risk factors for UR, to develop and validate an easy-to-...
Urinary Bladder Neoplasms Neoplasm Recurrence, Local Cystectomy Urethra Prognosis Humans Retrospective Studies Machine Learning Female Aged Risk Factors Male Middle Aged ROC Curve
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Automated interpretation of cardiotocography using deep learning in a nationwide multicenter study.

Scientific reports Jun 4, 2025
Timely detection of abnormal cardiotocography (CTG) during labor plays a crucial role in enhancing fetal prognosis. Recent research has explored the use of deep learning for CTG interpretation, most studies rely on small, localized datasets or focus ...
ROC Curve Cardiotocography Area Under Curve Heart Rate, Fetal Humans Pregnancy Female Deep Learning
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Machine learning model for preoperative classification of stromal subtypes in salivary gland pleomorphic adenoma based on ultrasound histogram analysis.

BMC oral health Jun 3, 2025
OBJECTIVES: Accurate preoperative discrimination of salivary gland pleomorphic adenoma (SPA) stromal subtypes is essential for therapeutic plannings. We aimed to establish and test machine learning (ML) models for classification of stromal subtypes i...
Ultrasonography ROC Curve Support Vector Machine Salivary Gland Neoplasms Aged Adult Male Middle Aged Adenoma, Pleomorphic Humans Machine Learning Algorithms Female
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A machine learning-based prediction model for sepsis-associated delirium in intensive care unit patients with sepsis-associated acute kidney injury.

Renal failure Jun 2, 2025
Sepsis-associated acute kidney injury (SA-AKI) patients in the ICU often suffer from sepsis-associated delirium (SAD), which is linked to unfavorable outcomes. This research aimed to develop a machine learning-based model for early SAD prediction in ...
Logistic Models Decision Trees Bayes Theorem Delirium Acute Kidney Injury Intensive Care Units Female Aged Male Middle Aged Sepsis ROC Curve Humans Machine Learning
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Accuracy of Artificial Intelligence for Gatekeeping in Referrals to Specialized Care.

JAMA network open Jun 2, 2025
IMPORTANCE: Integrating artificial intelligence (AI) technologies into gatekeeping holds significant potential, as it efficiently handles repetitive tasks and can process large amounts of information quickly.
Retrospective Studies Female Aged Adult Humans Artificial Intelligence Algorithms Primary Health Care Referral and Consultation Male Middle Aged Brazil ROC Curve
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Enhancing Antidiabetic Drug Selection Using Transformers: Machine-Learning Model Development.

JMIR medical informatics Jun 2, 2025
BACKGROUND: Diabetes affects millions worldwide. Primary care physicians provide a significant portion of care, and they often struggle with selecting appropriate medications.
Humans Machine Learning Electronic Health Records Female ROC Curve Hypoglycemic Agents Diabetes Mellitus Aged Area Under Curve Adult Male Middle Aged
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