AIMC Topic: Predictive Value of Tests

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Predicting postoperative nausea and vomiting using machine learning: a model development and validation study.

BMC anesthesiology Mar 20, 2025
BACKGROUND: Postoperative nausea and vomiting (PONV) is a frequently observed complication in patients undergoing surgery under general anesthesia. Moreover, it is a frequent cause of distress and dissatisfaction in the early postoperative period. Cu...
Anesthesia, General Humans Postoperative Nausea and Vomiting Machine Learning Aged Prognosis Adult Retrospective Studies Male Female Middle Aged Predictive Value of Tests
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Comparison of machine learning and nomogram to predict 30-day in-hospital mortality in patients with acute myocardial infarction combined with cardiogenic shock: a retrospective study based on the eICU-CRD and MIMIC-IV databases.

BMC cardiovascular disorders Mar 19, 2025
BACKGROUND: To evaluate the predictive utility of machine learning and nomogram in predicting in-hospital mortality in patients with acute myocardial infarction complicated by cardiogenic shock (AMI-CS), and to visualize the model results in order to...
Reproducibility of Results Risk Factors Aged Male Middle Aged Risk Assessment Time Factors Hospital Mortality Nomograms Decision Support Techniques Databases, Factual Prognosis Retrospective Studies Female Humans Machine Learning Predictive Value of Tests Myocardial Infarction Shock, Cardiogenic
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Predicting complications after laparoscopic surgery for ureteropelvic junction obstruction using machine learning models: a retrospective cohort study.

World journal of urology Mar 18, 2025
PURPOSES: Postoperative complications in patients with ureteropelvic junction obstruction (UPJO) negatively impact surgical outcomes and may necessitate redo surgery. We aimed to predict the occurrence of postoperative complications in these patients...
Adult Machine Learning Male Cohort Studies Humans Middle Aged Retrospective Studies Predictive Value of Tests Female Postoperative Complications Laparoscopy Risk Factors Kidney Pelvis Aged Ureteral Obstruction
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Automated Identification of Stroke Thrombolysis Contraindications from Synthetic Clinical Notes: A Proof-of-Concept Study.

Cerebrovascular diseases extra Mar 17, 2025
INTRODUCTION: Timely thrombolytic therapy improves outcomes in acute ischemic stroke. Manual chart review to screen for thrombolysis contraindications may be time-consuming and prone to errors. We developed and tested a large language model (LLM)-bas...
Fibrinolytic Agents Treatment Outcome Humans Contraindications, Drug Stroke Predictive Value of Tests Decision Support Techniques Natural Language Processing Automation Electronic Health Records Ischemic Stroke Proof of Concept Study Reproducibility of Results Thrombolytic Therapy
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A computed tomography angiography-based radiomics model for prognostic prediction of endovascular abdominal aortic repair.

International journal of cardiology Mar 14, 2025
OBJECTIVE: This study aims to develop a radiomics machine learning (ML) model that uses preoperative computed tomography angiography (CTA) data to predict the prognosis of endovascular aneurysm repair (EVAR) for abdominal aortic aneurysm (AAA) patien...
Humans Machine Learning Prognosis Retrospective Studies Middle Aged Female Predictive Value of Tests Aged Aortic Aneurysm, Abdominal Aged, 80 and over Endovascular Procedures Radiomics Computed Tomography Angiography Male
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Deep learning for the prediction of acute kidney injury after coronary angiography and intervention in patients with chronic kidney disease: a model development and validation study.

Renal failure Mar 13, 2025
BACKGROUND: Patients with chronic kidney disease (CKD) are considered the primary population at risk for post-contrast acute kidney injury (PC-AKI), yet there are few predictive tools specifically designed for this vulnerable population.
Humans Retrospective Studies Acute Kidney Injury Middle Aged Risk Assessment Deep Learning ROC Curve Renal Insufficiency, Chronic Female Risk Factors Aged Male Contrast Media Predictive Value of Tests Coronary Angiography Percutaneous Coronary Intervention
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Risk of bias assessment of post-stroke mortality machine learning predictive models: Systematic review.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Mar 13, 2025
BACKGROUND: Stroke is a major cause of mortality and permanent disability worldwide. Precise prediction of post-stroke mortality is essential for guiding treatment decisions and rehabilitation planning. The ability of Machine learning models to proce...
Middle Aged Risk Assessment Time Factors Predictive Value of Tests Stroke Female Reproducibility of Results Risk Factors Aged Male Humans Machine Learning Decision Support Techniques Prognosis
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Artificial Intelligence-Assisted Capsule Endoscopy Versus Conventional Capsule Endoscopy for Detection of Small Bowel Lesions: A Systematic Review and Meta-Analysis.

Journal of gastroenterology and hepatology Mar 13, 2025
BACKGROUND: Capsule endoscopy (CE) is a valuable tool used in the diagnosis of small intestinal lesions. The study aims to systematically review the literature and provide a meta-analysis of the diagnostic accuracy, specificity, sensitivity, and nega...
Intestine, Small Intestinal Diseases Male Middle Aged Predictive Value of Tests Capsule Endoscopy Humans Artificial Intelligence Female Sensitivity and Specificity
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Machine learning prediction of right ventricular volume and ejection fraction from two-dimensional echocardiography in patients with pulmonary regurgitation.

The international journal of cardiovascular imaging Mar 13, 2025
Right ventricular (RV) end-diastolic volume (RVEDV) and ejection fraction (RVEF) by cardiac MRI (cMRI) guide management in chronic pulmonary regurgitation (PR). Two-dimensional echocardiography suboptimally correlate with RV volumes. This study teste...
Pulmonary Valve Insufficiency Predictive Value of Tests Ventricular Dysfunction, Right Image Interpretation, Computer-Assisted Ventricular Function, Right Reproducibility of Results Young Adult Adult Male Stroke Volume Echocardiography Severity of Illness Index Adolescent Humans Chronic Disease Machine Learning Prognosis Retrospective Studies Female
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Prediction of Chemotherapy Response in Locally Advanced Breast Cancer Patients at Pre-Treatment Using CT Textural Features and Machine Learning: Comparison of Feature Selection Methods.

Tomography (Ann Arbor, Mich.) Mar 13, 2025
RATIONALE: Neoadjuvant chemotherapy (NAC) is a key element of treatment for locally advanced breast cancer (LABC). Predicting the response of NAC for patients with LABC before initiating treatment would be valuable to customize therapies and ensure t...
Treatment Outcome Aged Neoadjuvant Therapy Humans Adult Predictive Value of Tests Machine Learning Breast Neoplasms Chemotherapy, Adjuvant Tomography, X-Ray Computed Middle Aged Female
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