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http://dx.doi.org/10.1016/S0960-9776(07)70013-9 | DOI Listing |
Med Devices (Auckl)
January 2025
Department of Orthopaedics, Sports Medicine Research Institute, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
Goal: Cost-saving initiatives targeting surgical supplies management have become increasingly common to address rising healthcare costs. However, few studies provide details on hospital stakeholder experiences or learnings from implementing such initiatives. Thus, we sought to evaluate hospital stakeholder satisfaction with conversion to a sole supplier for hemostasis products, in addition to economic and clinical impacts, to help develop best practices for implementation.
View Article and Find Full Text PDFJ Med Life
December 2024
Faculty of Medicine and Pharmacy, University of Oradea, Oradea, Romania.
This study aimed to assess pain intensity in patients who underwent total hip arthroplasty (THA) using the Visual Analogue Scale (VAS). The study was conducted between 2022 and 2023, enrolling 203 patients admitted to the Orthopedics Department. Participants self-reported their post-surgical pain 24 hours after THA by selecting a VAS rating that best represented their personal experience.
View Article and Find Full Text PDFJHEP Rep
February 2025
Division of Hematology/Oncology, Department of Medicine, Tisch Cancer Institute, Mount Sinai Hospital, New York, NY, USA.
Background & Aims: Atezolizumab/bevacizumab (A/B) is now a standard first-line treatment for advanced hepatocellular carcinoma (HCC), but the optimal second-line regimen is not known. We evaluated real-world treatment patterns and outcomes to investigate factors associated with post-progression survival (PPS).
Methods: In this multicenter, international, retrospective study, we examined clinical characteristics and outcomes of patients with advanced HCC who progressed on first-line A/B.
J Hand Microsurg
January 2025
Department of Orthopaedic Surgery, University of Chicago Pritzker School of Medicine, Chicago, IL, USA.
Background: Trigger finger is a common disorder of the hand characterized by pain and locking of the digits during flexion or extension. In cases refractory to nonoperative management, surgical release of the A1 pulley can be performed. This study evaluates the ability of machine learning (ML) techniques to predict short-term complications following trigger digit release surgery.
View Article and Find Full Text PDFBMC Oral Health
January 2025
Bangkok Hospital Dental Center Holistic Care and Dental Implant, Bangkok Hospital, Bangkok, 10310, Thailand.
Background: Assessing the difficulty of impacted lower third molar (ILTM) surgical extraction is crucial for predicting postoperative complications and estimating procedure duration. The aim of this study was to evaluate the effectiveness of a convolutional neural network (CNN) in determining the angulation, position, classification and difficulty index (DI) of ILTM. Additionally, we compared these parameters and the time required for interpretation among deep learning (DL) models, sixth-year dental students (DSs), and general dental practitioners (GPs) with and without CNN assistance.
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