Preoperative predictors of postoperative complications after gastric cancer resection
Surgery today (Print), 2019 Risk management is becoming an increasingly important healthcare issue. Gastrectomy with lymphadenectomy is still the mainstay of treatment for localized gastric cancer, but it is sometimes associated with postoperative complications that compromise the ...
M. Kanda
semanticscholar +1 more source
Anticancer Research, 2019 Background: Sarcopenia is known to have an important influence on postoperative complications in several diseases, and on the prognosis of patients with cancer.
Tatsuro Tamura +9 more
semanticscholar +1 more source
Predicting Postoperative Intraocular Lens Dislocation in Cataract Surgery via Deep Learning [PDF]
arXiv, 2023 A critical yet unpredictable complication following cataract surgery is intraocular lens dislocation. Postoperative stability is imperative, as even a tiny decentration of multifocal lenses or inadequate alignment of the torus in toric lenses due to postoperative rotation can lead to a significant drop in visual acuity.
arxiv
Dynamic Predictions of Postoperative Complications from Explainable, Uncertainty-Aware, and Multi-Task Deep Neural Networks [PDF]
arXiv, 2020 Accurate prediction of postoperative complications can inform shared decisions regarding prognosis, preoperative risk-reduction, and postoperative resource use. We hypothesized that multi-task deep learning models would outperform random forest models in predicting postoperative complications, and that integrating high-resolution intraoperative ...
arxiv
Self-explaining Hierarchical Model for Intraoperative Time Series [PDF]
arXiv, 2022 Major postoperative complications are devastating to surgical patients. Some of these complications are potentially preventable via early predictions based on intraoperative data. However, intraoperative data comprise long and fine-grained multivariate time series, prohibiting the effective learning of accurate models.
arxiv
Annals of Surgical Oncology, 2019 BackgroundThe impact of cardiorespiratory comorbidity on operative outcomes after esophagectomy remains controversial. This study investigated the effect of cardiorespiratory comorbidity on postoperative complications for patients treated for esophageal ...
F. Klevebro +15 more
semanticscholar +1 more source
A Novel Generative Multi-Task Representation Learning Approach for Predicting Postoperative Complications in Cardiac Surgery Patients [PDF]
J. Am. Med. Inform. Assoc. (2024) ocae316Early detection of surgical complications allows for timely therapy and proactive risk mitigation. Machine learning (ML) can be leveraged to identify and predict patient risks for postoperative complications. We developed and validated the effectiveness of predicting postoperative complications using a novel surgical Variational Autoencoder (surgVAE ...
arxiv +1 more source
Predicting Postoperative Nausea And Vomiting Using Machine Learning: A Model Development and Validation Study [PDF]
arXiv, 2023 Background: Postoperative nausea and vomiting (PONV) is a frequently observed complication in patients undergoing surgery under general anesthesia. Moreover, it is a frequent cause of distress and dissatisfaction during the early postoperative period. The tools used for predicting PONV at present have not yielded satisfactory results.
arxiv
First Investigation Into the Use of Deep Learning for Continuous Assessment of Neonatal Postoperative Pain [PDF]
, 2020 This paper presents the first investigation into the use of fully automated deep learning framework for assessing neonatal postoperative pain. It specifically investigates the use of Bilinear Convolutional Neural Network (B-CNN) to extract facial features during different levels of postoperative pain followed by modeling the temporal pattern using ...
arxiv +1 more source
CoRe: An Automated Pipeline for The Prediction of Liver Resection Complexity from Preoperative CT Scans [PDF]
arXiv, 2022 Surgical resections are the most prevalent curative treatment for primary liver cancer. Tumors located in critical positions are known to complexify liver resections (LR). While experienced surgeons in specialized medical centers may have the necessary expertise to accurately anticipate LR complexity, and prepare accordingly, an objective method able ...
arxiv