Results 71 to 80 of about 134,072 (327)
HeartBEiT: Vision Transformer for Electrocardiogram Data Improves Diagnostic Performance at Low Sample Sizes [PDF]
arXiv, 2022 The electrocardiogram (ECG) is a ubiquitous diagnostic modality. Convolutional neural networks (CNNs) applied towards ECG analysis require large sample sizes, and transfer learning approaches result in suboptimal performance when pre-training is done on natural images.
arxiv
Case Reports in AnesthesiologyConclusions: Complimentary regional nerve blocks, when combined with surgeon-administered local infiltration analgesia and multiple systemic nonopioid medications, can provide sufficient analgesia to cover the complexly innervated hip joint and ...
Robert L. Owen +4 more
doaj +1 more source
Swiss Medical Weekly, 2023 Swiss Society for Anaesthesiology and Perioperative Medicine +1 more
doaj +1 more source
Integrated Blood Pressure Control, 2022 Sana Mohseni,1 Sahar Behnam-Roudsari,1 Mohammad Tarbiat,1 Pouyan Shaker,2 Seyedmohammadshahab Shivaie,1 Mohammad A Shafiee1 1Division of General Internal Medicine, Department of Medicine, Toronto General Hospital, Toronto, ON M2G 2C4, Canada; 2College of
Mohseni S +5 more
doaj
Deep Learning Approach for Predicting 30 Day Readmissions after Coronary Artery Bypass Graft Surgery [PDF]
arXiv, 2018 Hospital Readmissions within 30 days after discharge following Coronary Artery Bypass Graft (CABG) Surgery are substantial contributors to healthcare costs. Many predictive models were developed to identify risk factors for readmissions. However, majority of the existing models use statistical analysis techniques with data available at discharge.
arxiv
Supplementum 264: Abstracts Swiss Anaesthesia 2022
Swiss Medical Weekly, 2022 Swiss Society for Anaesthesiology and Perioperative Medicine +1 more
doaj +1 more source
Journal of Pain Research, 2023 Giuliano Lo Bianco,1 Michael E Schatman2,3 1Anesthesiology and Pain Department, Fondazione Istituto “G. Giglio”, Cefalù, Palermo, Italy; 2Department of Anesthesiology, Perioperative Care and Pain Medicine, NYU Grossman School of Medicine, New York, NY ...
Lo Bianco G, Schatman ME
doaj
Intelligent Perioperative System: Towards Real-time Big Data Analytics in Surgery Risk Assessment [PDF]
arXiv, 2017 Surgery risk assessment is an effective tool for physicians to manage the treatment of patients, but most current research projects fall short in providing a comprehensive platform to evaluate the patients' surgery risk in terms of different complications.
arxiv
A Discrete Event Simulation Model for Coordinating Inventory Management and Material Handling in Hospitals [PDF]
arXiv, 2020 For operating rooms (ORs) and hospitals, inventory management of surgical instruments and material handling decisions of perioperative services are critical to hospitals' service levels and costs. However, efficiently integrating these decisions is challenging due to hospitals' interdependence and the uncertainties they face. These challenges motivated
arxiv
Geriatrics, 2020 Older adults undergoing vascular surgery are particularly vulnerable to adverse outcomes by virtue of their vascular risk factors and medical comorbidities.
Emma Mitchell +8 more
doaj +1 more source