Background: Endoscopic surgeons rely on visual feedback to control their movements but lack stereopsis, an important depth cue. Previous three-dimensional (3D) systems alternated images on a two-dimensional (2D) screen, which was uncomfortable for surgeons. A second-generation 3D system provides continuous stereoscopic images on a monitor suspended at arm's length. We studied its effect on the laparoscopic precision of novices and experienced surgeons.
Methods: Experienced laparoscopic surgeons (n = 12) and novices (n = 16) performed a total of 672 tasks in 2D, 3D, and under direct vision. Precision was assessed using the Imperial College Surgical Assessment Device (ICSAD), which generates objective scores of performance by analyzing the movements of surgical instruments.
Results: We found that 2D endoscopic vision impaired performance by 35-100% when compared with direct vision, whereas 3D reduced this endoscopic handicap by 41-53% in novices and experienced surgeons (p < 0.03). No side effects were reported with the new 3D system. Even in 2D, novices performed better with an image at arm's length (p < 0. 03).
Conclusions: Second-generation 3D significantly improved the laparoscopic precision of novices and experienced surgeons, without the side effects reported from previous systems. This technology is expected to improve the ease and safety of laparoscopic surgery.
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http://dx.doi.org/10.1007/s004649901179 | DOI Listing |
Introduction: Professional identity is one of the frequently used and least clearly defined terms in healthcare education. Its simplest definition includes feeling, thinking, and acting like a representative of a given professional group. Many other aspects of professional identity exist.
View Article and Find Full Text PDFBMC Med Educ
January 2025
Department of Health Sciences, Norwegian University of Science and Technology, Ålesund, 6009, Norway.
Background: The aim of this study was to investigate how facilitators approach and use nursing students' mistakes in simulation-based training as learning resources in the simulation debriefing phase. Facilitators are responsible for raising students' awareness of their performances during the debriefing and facilitating reflections on their performances, including satisfactory behaviours and performance gaps. Research on facilitators' work during debriefing has highlighted various challenges, such as providing a safe and constructive climate among novice students while simultaneously teaching them the correct procedures, methods, and knowledge of caring practices to become professional nurses.
View Article and Find Full Text PDFNurse Educ
October 2024
Author Affiliation: Department of Nursing, Nebraska Wesleyan University, Lincoln, Nebraska (Dr Eilts).
Background: Promoting the success and retention of novice nursing students requires a better understanding of how self-regulated and strategic learning approaches impact academic performance.
Purpose: The purpose of this correlational study was to determine if there was a predictive relationship between the results of a self-regulated learning assessment and final grades in a foundational nursing course.
Methods: The Learning and Study Strategies Inventory (LASSI) was used to collect data from a convenience sample of 75 students enrolled in an entry-level nursing course across 4 prelicensure programs.
J Dent Sci
December 2024
Oral and Maxillofacial Surgery and Digital Implant Surgery Research Unit, Faculty of Dentistry, Chulalongkorn University, Bangkok, Thailand.
Background/purpose: The increasing importance of computer assisted implant surgery (CAIS) in the practice of implant dentistry calls for adequate education and training of clinicians. However, limited evidence exists to support optimal educational strategies and best practices. This study aimed to investigate the effectiveness of distributed training with dynamic CAIS (d-CAIS) on the precision of freehand implant placement by inexperienced operators.
View Article and Find Full Text PDFSurg Endosc
January 2025
Department of Clinical Medicine, Aalborg University, Aalborg, Denmark.
Objectives: This study aimed to develop an automated skills assessment tool for surgical trainees using deep learning.
Background: Optimal surgical performance in robot-assisted surgery (RAS) is essential for ensuring good surgical outcomes. This requires effective training of new surgeons, which currently relies on supervision and skill assessment by experienced surgeons.
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