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Evaluation of Outcomes Following Arthroscopic Treatment of Femoroacetabular Impingement Syndrome Across Different Surgeons, Surgical Techniques, and Postoperative Protocols: A Multi-institutional Study.
Orthop J Sports Med
January 2025
Department of Orthopaedic Surgery and Sports Medicine, University of Washington, Seattle, Washington, USA.
Background: Femoroacetabular impingement syndrome (FAIS) is frequently treated arthroscopically with osteoplasty and labral repair. Surgical preferences vary in terms of equipment, technique, and postoperative protocol. Patient-reported outcome measures (PROMs) are valuable tools to assess outcomes across different institutions.
View Article and Find Full Text PDFExplaining the perception of students and professors regarding the clinical education challenges and strategies of the operation room.
J Educ Health Promot
December 2024
School of Nursing and Midwifery, Dezful University of Medical Sciences, Dezful, Iran.
Background: Clinical education is an essential part of medical science education in the operating room, and considering its high importance, it is necessary to identify challenges in this regard. The study aims to explain the perception of students and professors regarding the challenges and strategies for improving education in the operating room. The context of this study was the Khomein School of Medical Sciences.
View Article and Find Full Text PDFInitial Experience With VELYS Robot-Assisted Total Knee Replacement: Coronal Plane Accuracy and Effect of Robotic Training on Outcomes.
Cureus
December 2024
Orthopaedic Surgery, Mahajan Ortho and Surgical Hospital, Nagpur, IND.
Introduction: The use of robots for arthroplasty is gaining momentum in recent times to provide accuracy in bony cuts and alignment. We aimed to study the efficacy of coronal plane correction with a new robotic system (VELYS™ Robotic-Assisted Surgery) and also the effect of the learning curve of robot-assisted total knee arthroplasty (RATKA) on outcomes. We hypothesize that the benefits of RATKA are not limited to only surgeons having specific training in robotic knee replacement.
View Article and Find Full Text PDFIntegrating Retinal Segmentation Metrics with Machine Learning for Predictions from Mouse SD-OCT Scans.
Curr Eye Res
January 2025
Department of Ophthalmology, Edward S. Harkness Eye Institute, Columbia University, Vagelos College of Physicians and Surgeons, New York, NY, USA.
Purpose: This study aimed to initially test whether machine learning approaches could categorically predict two simple biological features, mouse age and mouse species, using the retinal segmentation metrics.
Methods: The retinal layer thickness data obtained from C57BL/6 and DBA/2J mice were processed for machine learning after segmenting mouse retinal SD-OCT scans. Twenty-two models were trained to predict the mouse groups.
National survey on data governance and digital surgery: Challenges and opportunities for surgeons in the era of artificial intelligence.
Cir Esp (Engl Ed)
January 2025
Servicio de Cirugía General y Aparato Digestivo, Hospital Universitario Puerta de Hierro-Majadahonda, Majadahonda, Madrid, Spain.
Introduction: This study evaluates the knowledge of Spanish surgeons regarding data governance and Digital Surgery, their usage, errors, and training deficiencies, as well as differences in knowledge between those who perform robotic surgery and those who do not.
Methods: A descriptive study was conducted using a closed survey promoted by the Minimally Invasive Surgery and Technological Innovation Section of the Spanish Association of Surgeons, directed at its members between February and March 2024.
Results: Out of 1,086 surgeons contacted, 396 responded (36.
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