AIMC Topic: Postoperative Complications
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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...
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
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 ...
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
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...
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).
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.
Machine learning models including preoperative and postoperative albumin-bilirubin score: short-term outcomes among patients with hepatocellular carcinoma.
HPB : the official journal of the International Hepato Pancreato Biliary Association
Jul 25, 2024
BACKGROUND: We sought to assess the impact of various perioperative factors on the risk of severe complications and post-surgical mortality using a novel maching learning technique.
Middle Aged
Risk Assessment
Female
Humans
Predictive Value of Tests
Hospital Mortality
Risk Factors
Hepatectomy
Postoperative Complications
Machine Learning
Bilirubin
Liver Neoplasms
Aged
Serum Albumin, Human
Time Factors
Databases, Factual
Male
Carcinoma, Hepatocellular
Serum Albumin
Retrospective Studies
Treatment Outcome
Machine Learning Predicts Unplanned Care Escalations for Post-Anesthesia Care Unit Patients during the Perioperative Period: A Single-Center Retrospective Study.
Journal of medical systems
Jul 23, 2024
BACKGROUND: Despite low mortality for elective procedures in the United States and developed countries, some patients have unexpected care escalations (UCE) following post-anesthesia care unit (PACU) discharge. Studies indicate patient risk factors ...
Risk prediction of kalaemia disturbance and acute kidney injury after total knee arthroplasty: use of a machine learning algorithm.
Orthopaedics & traumatology, surgery & research : OTSR
Jul 22, 2024
INTRODUCTION: Total knee arthroplasty (TKA) is a procedure associated with risks of electrolyte and kidney function disorders, which are rare but can lead to serious complications if not correctly identified. A routine check-up is very often carried ...
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