AIMC Topic: Postoperative Complications

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Development of a Disease Model for Predicting Postoperative Delirium Using Combined Blood Biomarkers.

Annals of clinical and translational neurology Mar 17, 2025
OBJECTIVE: Postoperative delirium, a common neurocognitive complication after surgery and anesthesia, requires early detection for potential intervention. Herein, we constructed a multidimensional postoperative delirium risk-prediction model incorpor...
Humans Machine Learning Biomarkers Female Postoperative Complications Aged Delirium Colorectal Neoplasms Emergence Delirium Male Middle Aged
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Querying the capability of the post-HoLEP endoscopic aspect of the membranous urethral mucosa in predicting urinary incontinence: a prospective AI-based analysis.

World journal of urology Mar 12, 2025
INTRODUCTION: Transient stress urinary incontinence (SUI) after holmium laser enucleation of prostate (HoLEP) is commonly linked to intraoperative injury of the external urethral sphincter (EUS). We assessed the reliability of the post-HoLEP endoscop...
Male Middle Aged Postoperative Complications Predictive Value of Tests Prostatic Hyperplasia Mucous Membrane Prostatectomy Lasers, Solid-State Artificial Intelligence Laser Therapy Humans Urinary Incontinence, Stress Prospective Studies Urethra Aged Endoscopy
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Post-Bariatric Hypoglycemia After Gastric Bypass: Clinical Characteristics, Risk Factors, and Future Directions-A Response to Grover et al.

Clinical endocrinology Mar 10, 2025
BACKGROUND: Post-bariatric hypoglycemia (PBH) after Roux-en-Y gastric bypass (RYGB) is a complex complication, often characterized by potentially severe hypoglycemic episodes and reduced hypoglycemia awareness. Recent findings suggest that autonomic ...
Gastric Bypass Dumping Syndrome Humans Risk Factors Postoperative Complications Hypoglycemia
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Controlling nutritional status score predicts posthepatectomy liver failure: an online interpretable machine learning prediction model.

European journal of gastroenterology & hepatology Mar 5, 2025
BACKGROUND AND AIMS: Posthepatectomy liver failure (PHLF) remains a severe complication after hepatectomy for hepatocellular carcinoma (HCC) and accurate preoperative evaluation and predictive measures are urgently needed. We investigated the impact ...
Risk Factors Aged Male Middle Aged Humans Machine Learning Algorithms Female Carcinoma, Hepatocellular Predictive Value of Tests Hepatectomy Nutritional Status Liver Failure Nutrition Assessment Risk Assessment Postoperative Complications Liver Neoplasms
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Using Machine Learning to Predict Outcomes Following Thoracic and Complex Endovascular Aortic Aneurysm Repair.

Journal of the American Heart Association Mar 3, 2025
BACKGROUND: Thoracic endovascular aortic repair (TEVAR) and complex endovascular aneurysm repair (EVAR) are complex procedures that carry a significant risk of complications. While risk prediction tools can aid in clinical decision making, they remai...
Risk Assessment Postoperative Complications Treatment Outcome Predictive Value of Tests Aortic Aneurysm, Thoracic Blood Vessel Prosthesis Implantation Endovascular Procedures Risk Factors Humans Aged Aged, 80 and over Male Machine Learning Databases, Factual Retrospective Studies Female
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Machine Learning-Based Prediction of Early Complications Following Surgery for Intestinal Obstruction: Multicenter Retrospective Study.

Journal of medical Internet research Mar 3, 2025
BACKGROUND: Early complications increase in-hospital stay and mortality after intestinal obstruction surgery. It is important to identify the risk of postoperative early complications for patients with intestinal obstruction at a sufficiently early s...
Aged Adult Male Middle Aged Machine Learning Postoperative Complications Retrospective Studies ROC Curve Humans Female Intestinal Obstruction Risk Factors
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Prediction of Postoperative Macular Hole Status by Automated Preoperative Retinal OCT Analysis: A Narrative Review.

Ophthalmic surgery, lasers & imaging retina Mar 1, 2025
Optical coherence tomography (OCT) is a non-invasive imaging modality essential for macular hole (MH) management. Artificial intelligence (AI) algorithms could be applied to OCT to garner insights for MH prognosis and outcomes. The objective was to r...
Artificial Intelligence Algorithms Postoperative Complications Humans Visual Acuity Tomography, Optical Coherence Postoperative Period Vitrectomy Retinal Perforations
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Deep Learning-Assisted Diagnosis of Malignant Cerebral Edema Following Endovascular Thrombectomy.

Academic radiology Feb 28, 2025
BACKGROUND: Malignant cerebral edema (MCE) is a significant complication following endovascular thrombectomy (EVT) in the treatment of acute ischemic stroke. This study aimed to develop and validate a deep learning-assisted diagnosis model based on t...
Male Middle Aged Postoperative Complications Deep Learning Prospective Studies Tomography, X-Ray Computed Female Aged Ischemic Stroke Brain Edema Endovascular Procedures Thrombectomy Humans
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Machine Learning-Based Prediction of Postoperative Pneumonia Among Super-Aged Patients With Hip Fracture.

Clinical interventions in aging Feb 27, 2025
BACKGROUND: Hip fractures have become a significant health concern, particularly among super-aged patients, who were at a high risk of postoperative pneumonia due to their frailty and the presence of multiple comorbidities. This study aims to establi...
Pneumonia Machine Learning Humans Hip Fractures Algorithms Neural Networks, Computer China Female Aged, 80 and over Incidence Risk Factors Male Logistic Models Risk Assessment Support Vector Machine Postoperative Complications
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Predicting 90-day risk of urinary tract infections following urostomy in bladder cancer patients using machine learning and explainability.

Scientific reports Feb 25, 2025
This research aims to design and validate a machine learning model to predict the probability of urinary tract infections within 90 days post-urostomy in bladder cancer patients. Clinical and follow-up information from 317 patients who had urostomy p...
Support Vector Machine Urinary Bladder Neoplasms Urinary Tract Infections Humans Machine Learning Aged, 80 and over Algorithms Male Female Middle Aged Risk Factors Postoperative Complications Aged
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