AIMC Topic: Postoperative Complications

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Artificial Intelligence: Predicting Perioperative Problems.

British journal of hospital medicine (London, England : 2005) Aug 30, 2024
The rapidly developing field of artificial intelligence (AI) may soon equip clinicians with algorithms that model and predict perioperative problems with extreme accuracy. Here, we outline emerging AI applications in preoperative risk stratification ...
Humans Artificial Intelligence Machine Learning Algorithms Risk Assessment Postoperative Complications Perioperative Care
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Preventing postoperative moderate- and high-risk pressure injuries with artificial intelligence-powered smart decompression mattress on in middle-aged and elderly patients: a retrospective cohort analysis.

British journal of hospital medicine (London, England : 2005) Aug 30, 2024
Artificial intelligence technology has attained rapid development in recent years. The integration of artificial intelligence applications into pressure reduction mattresses, giving rise to artificial intelligence-powered pressure reduction mattress...
Middle Aged Postoperative Complications Pressure Ulcer Beds Retrospective Studies Decompression Female Aged Male Humans Artificial Intelligence
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Developmental and Validation of Machine Learning Model for Prediction Complication After Cervical Spine Metastases Surgery.

Clinical spine surgery Aug 29, 2024
STUDY DESIGN: This is a retrospective cohort study utilizing machine learning to predict postoperative complications in cervical spine metastases surgery.
Middle Aged Postoperative Complications Cervical Vertebrae Spinal Neoplasms Female Aged Adult Male Humans Machine Learning Retrospective Studies
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Development and Internal-External Validation of a Post-Operative Mortality Risk Calculator for Pediatric Surgical Patients in Low- and Middle- Income Countries Using Machine Learning.

Journal of pediatric surgery Aug 29, 2024
BACKGROUND: The purpose of this study was to develop and validate a mortality risk algorithm for pediatric surgery patients treated at KidsOR sites in 14 low- and middle-income countries.
Female Hospital Mortality Humans Male Infant Developing Countries Machine Learning Risk Assessment Adolescent Algorithms Surgical Procedures, Operative Postoperative Complications Child, Preschool Retrospective Studies Child
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Artificial neural network prediction of postoperative complications in papillary thyroid microcarcinoma based on preoperative ultrasonographic features.

Journal of clinical ultrasound : JCU Aug 27, 2024
OBJECTIVE: To predict post-thyroidectomy complications in papillary thyroid microcarcinoma (PTMC) patients using a deep learning model based on preoperative ultrasonographic features. This study addresses the global rise in PTMC incidence and the cha...
Thyroid Neoplasms Ultrasonography Predictive Value of Tests Carcinoma, Papillary Postoperative Complications Deep Learning Thyroid Gland Thyroidectomy Humans Neural Networks, Computer Retrospective Studies Female Reproducibility of Results Adult Male Middle Aged
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Machine learning models to predict osteonecrosis in patients with femoral neck fractures undergoing internal fixation.

Injury Aug 22, 2024
OBJECTIVE: This study aimed to use machine learning (ML) to establish risk factor and prediction models of osteonecrosis of the femoral head (ONFH) in patients with femoral neck fractures (FNFs) after internal fixation.
Aged Adult Male Middle Aged Humans Machine Learning Fracture Fixation, Internal Risk Assessment Retrospective Studies Femoral Neck Fractures Postoperative Complications Femur Head Necrosis ROC Curve Logistic Models Female Risk Factors
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Machine learning model predicts airway stenosis requiring clinical intervention in patients after lung transplantation: a retrospective case-controlled study.

BMC medical informatics and decision making Aug 19, 2024
BACKGROUND: Patients with airway stenosis (AS) are associated with considerable morbidity and mortality after lung transplantation (LTx). This study aims to develop and validate machine learning (ML) models to predict AS requiring clinical interventi...
Risk Factors Adult Male Middle Aged Humans Machine Learning Retrospective Studies Female Postoperative Complications Case-Control Studies Constriction, Pathologic Lung Transplantation
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Predicting serious postoperative complications and evaluating racial fairness in machine learning algorithms for metabolic and bariatric surgery.

Surgery for obesity and related diseases : official journal of the American Society for Bariatric Surgery Aug 13, 2024
BACKGROUND: Predicting the risk of complications is critical in metabolic and bariatric surgery (MBS).
Humans United States Bariatric Surgery Obesity, Morbid Male Middle Aged Risk Assessment Postoperative Complications Machine Learning Algorithms Female Adult
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A risk prediction model based on machine learning algorithm for parastomal hernia after permanent colostomy.

BMC medical informatics and decision making Aug 8, 2024
OBJECTIVE: To develop a machine learning-based risk prediction model for postoperative parastomal hernia (PSH) in colorectal cancer patients undergoing permanent colostomy, assisting nurses in identifying high-risk groups and devising preventive care...
Aged Colorectal Neoplasms Male Middle Aged Risk Assessment Postoperative Complications Colostomy Case-Control Studies Incisional Hernia Humans Machine Learning Algorithms Female
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Machine Learning-Based Algorithm for the Early Prediction of Postoperative Hypocalcemia Risk After Thyroidectomy.

Annals of surgery Aug 7, 2024
OBJECTIVE: We used machine learning to develop and validate a multivariable algorithm allowing the accurate and early prediction of postoperative hypocalcemia risk.
Retrospective Studies Female Risk Factors Aged Humans Machine Learning Algorithms Postoperative Complications Thyroidectomy Predictive Value of Tests Hypocalcemia Adult Male Middle Aged Risk Assessment
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