Postoperative Complications

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).

Bariatric Surgery Obesity, Morbid Risk Assessment Postoperative Complications United States Humans Machine Learning Algorithms Female Adult Male Middle Aged

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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...

Female Aged Colorectal Neoplasms Male Humans Machine Learning Algorithms Incisional Hernia Colostomy Middle Aged Risk Assessment Postoperative Complications Case-Control Studies

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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.

Humans Machine Learning Middle Aged Risk Assessment Postoperative Complications Thyroidectomy Predictive Value of Tests Hypocalcemia Risk Factors Algorithms Aged Retrospective Studies Adult Female Male

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Artificial intelligence for surgical safety during laparoscopic gastrectomy for gastric cancer: Indication of anatomical landmarks related to postoperative pancreatic fistula using deep learning.

Surgical endoscopy Aug 2, 2024

BACKGROUND: Postoperative pancreatic fistula (POPF) is a critical complication of laparoscopic gastrectomy (LG). However, there are no widely recognized anatomical landmarks to prevent POPF during LG. This study aimed to identify anatomical landmarks...

Middle Aged Postoperative Complications Deep Learning Anatomic Landmarks Laparoscopy Female Aged Gastrectomy Stomach Neoplasms Pancreatic Fistula Humans Male Artificial Intelligence

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Optimizing post-transplantation outcomes: the role of multi-omics, artificial intelligence, and animal models in addressing immunosuppression-associated hepatotoxicity.

International journal of surgery (London, England) Aug 1, 2024

Animals Postoperative Complications Multiomics Disease Models, Animal Immunosuppressive Agents Immunosuppression Therapy Liver Transplantation Chemical and Drug Induced Liver Injury Humans Artificial Intelligence

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LASIK Versus PRK Based on Increased Risk of Corneal Haze: Assessing Current Decision-Making Capabilities of Six Artificial Intelligence Models in Refractive Surgery.

Journal of refractive surgery (Thorofare, N.J. : 1995) Aug 1, 2024

PURPOSE: To investigate the current decision-making capabilities of 6 different artificial intelligence (AI) models by assessing their refractive surgery recommendations (laser in-situ keratomileusis [LASIK] or photorefractive keratectomy [PRK]) for ...

Postoperative Complications Corneal Opacity Visual Acuity Humans Refraction, Ocular Photorefractive Keratectomy Artificial Intelligence Myopia Keratomileusis, Laser In Situ Risk Factors Decision Making Lasers, Excimer

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Letter to the Editor: 'Machine learning to develop a novel model for predicting new-onset postoperative atrial fibrillation after coronary artery bypass grafting'.

International journal of surgery (London, England) Aug 1, 2024

Machine Learning Postoperative Complications Atrial Fibrillation Coronary Artery Bypass Humans

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Predicting inferior vena cava filter complications using machine learning.

Journal of vascular surgery. Venous and lymphatic disorders Jul 29, 2024

OBJECTIVE: Inferior vena cava (IVC) filter placement is associated with important long-term complications. Predictive models for filter-related complications may help guide clinical decision-making but remain limited. We developed machine learning (M...

Treatment Outcome Predictive Value of Tests Prosthesis Implantation Vena Cava Filters Databases, Factual Middle Aged Risk Assessment Retrospective Studies Postoperative Complications Female Time Factors Risk Factors Aged Humans Adult Machine Learning Male Decision Support Techniques

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Artificial intelligence in predicting postoperative heterotopic ossification following anterior cervical disc replacement.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society Jul 29, 2024

OBJECTIVE: This study aimed to develop and validate a machine learning (ML) model to predict high-grade heterotopic ossification (HO) following Anterior cervical disc replacement (ACDR).

Humans Artificial Intelligence Retrospective Studies Female Postoperative Complications Adult Total Disc Replacement Cervical Vertebrae Male Middle Aged Intervertebral Disc Degeneration Ossification, Heterotopic

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Development and Validation of an Explainable Machine Learning Model for Predicting Myocardial Injury After Noncardiac Surgery in Two Centers in China: Retrospective Study.

JMIR aging Jul 26, 2024

BACKGROUND: Myocardial injury after noncardiac surgery (MINS) is an easily overlooked complication but closely related to postoperative cardiovascular adverse outcomes; therefore, the early diagnosis and prediction are particularly important.

Female Surgical Procedures, Operative Humans Aged Machine Learning Middle Aged Male Retrospective Studies Risk Assessment Postoperative Complications China

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AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Predicting serious postoperative complications and evaluating racial fairness in machine learning algorithms for metabolic and bariatric surgery.

A risk prediction model based on machine learning algorithm for parastomal hernia after permanent colostomy.

Machine Learning-Based Algorithm for the Early Prediction of Postoperative Hypocalcemia Risk After Thyroidectomy.

Artificial intelligence for surgical safety during laparoscopic gastrectomy for gastric cancer: Indication of anatomical landmarks related to postoperative pancreatic fistula using deep learning.

Optimizing post-transplantation outcomes: the role of multi-omics, artificial intelligence, and animal models in addressing immunosuppression-associated hepatotoxicity.

LASIK Versus PRK Based on Increased Risk of Corneal Haze: Assessing Current Decision-Making Capabilities of Six Artificial Intelligence Models in Refractive Surgery.

Letter to the Editor: 'Machine learning to develop a novel model for predicting new-onset postoperative atrial fibrillation after coronary artery bypass grafting'.

Predicting inferior vena cava filter complications using machine learning.

Artificial intelligence in predicting postoperative heterotopic ossification following anterior cervical disc replacement.

Development and Validation of an Explainable Machine Learning Model for Predicting Myocardial Injury After Noncardiac Surgery in Two Centers in China: Retrospective Study.

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