Diagnostic Accuracy of Artificial Intelligence Models for Predicting Postoperative Complications Following Free Flap Reconstruction: A Systematic Review and Meta-Analysis.
Sign Up to like & getrecommendations! Published in 2025 at "Microsurgery"
DOI: 10.1002/micr.70143
Abstract: To systematically evaluate the diagnostic performance of artificial intelligence (AI) models in predicting postoperative complications following flap surgery, and to compare the efficacy of different input modalities used in model training. read more here.
Keywords: predicting postoperative; postoperative complications; artificial intelligence; models predicting ... See more keywords
Predicting postoperative complications in pediatric surgery: A novel pediatric comorbidity index.
Sign Up to like & getrecommendations! Published in 2022 at "Journal of pediatric urology"
DOI: 10.1016/j.jpurol.2022.03.007
Abstract: INTRODUCTION/BACKGROUND Comorbidity-driven surgical risk assessment is essential for informed patient counseling, risk-stratification, and outcomes-based health-services research. Existing mortality-focused comorbidity indices have had mixed success at risk-adjustment in children. OBJECTIVE To develop a new comorbidity-driven multispecialty… read more here.
Keywords: postoperative complications; predicting postoperative; comorbidity; risk ... See more keywords
HO-1: a new marker for predicting postoperative recurrence of CRSwNP
Sign Up to like & getrecommendations! Published in 2023 at "Acta Oto-Laryngologica"
DOI: 10.1080/00016489.2023.2168054
Abstract: Abstract Background Chronic rhinosinusitis with polyps (CRSwNP) is a subtype of chronic rhinosinusitis and is highly prone to recurrence; therefore, it is urgent to find appropriate markers to predict recurrence of CRSwNP after surgery. Purpose… read more here.
Keywords: recurrence crswnp; marker; predicting postoperative; recurrence ... See more keywords
Application value of optical imaging as a potential biomarker for predicting postoperative recurrence of CRSwNP: eosinophil measurement and treatment of neuroinflammation.
Sign Up to like & getrecommendations! Published in 2025 at "Archives of physiology and biochemistry"
DOI: 10.1080/13813455.2025.2581992
Abstract: Chronic sinusitis with nasal polyps (CRSwNP) has a relatively high recurrence rate, seriously affecting the quality of life of patients. Neuroinflammation interacts with the persistent inflammatory state of the nasal mucosa. This study aims to… read more here.
Keywords: postoperative recurrence; predicting postoperative; treatment; neuroinflammation ... See more keywords
MP63-06 PREDICTING THE POSTOPERATIVE OUTCOME OF PERCUTANEOUS NEPHROLITHOTOMY WITH MACHINE LEARNING SYSTEM: SOFTWARE VALIDATION AND COMPARATIVE ANALYSIS WITH GUY’S STONE SCORE AND THE CROES NOMOGRAM
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Urology"
DOI: 10.1097/ju.0000000000000938.06
Abstract: INTRODUCTION AND OBJECTIVE:To validate the output of a machine learning-based software as an intelligible interface for predicting multiple outcomes after percutaneous nephrolithotomy (PCNL). We co... read more here.
Keywords: predicting postoperative; percutaneous nephrolithotomy; mp63 predicting; software ... See more keywords
Identifying and Predicting Postoperative Infections Based on Readily Available Electronic Health Record Data.
Sign Up to like & getrecommendations! Published in 2023 at "Studies in health technology and informatics"
DOI: 10.3233/shti230134
Abstract: Identification of postoperative infections based on retrospective patient data is currently done using manual chart review. We used a validated, automated labelling method based on registrations and treatments to develop a high-quality prediction model (AUC… read more here.
Keywords: based readily; health; identifying predicting; infections based ... See more keywords
A logistic regression-based nomogram model incorporating clinical, dietary, and nutritional data for predicting postoperative prognosis in elderly patients of grade A tertiary hospital
Sign Up to like & getrecommendations! Published in 2025 at "Frontiers in Nutrition"
DOI: 10.3389/fnut.2025.1644583
Abstract: Objective To develop and validate a logistic regression model predicting postoperative malnutrition risk in elderly patients using clinical, dietary, and nutritional data. Methods We analyzed 241 elderly patients (lung cancer lobectomy/esophageal cancer resection) admitted from… read more here.
Keywords: predicting postoperative; elderly patients; logistic regression; clinical dietary ... See more keywords
Machine Learning Models for Predicting Postoperative Complications and Hospitalization After Percutaneous Nephrolithotomy
Sign Up to like & getrecommendations! Published in 2025 at "Algorithms"
DOI: 10.3390/a18090558
Abstract: PCNL treatment is often associated with complications of hemorrhagic or infectious origin, which can result in prolonged hospitalization. This study aims to develop predictive models using machine learning (ML) techniques to anticipate these outcomes. Multiple… read more here.
Keywords: predicting postoperative; postoperative complications; learning models; models predicting ... See more keywords