The future of the profession is being forged under challenging circumstances.
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Training outcomes of novice clinicians in the use of dynamic computer assisted implant surgery: A prospective comparative study.
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 PDFVideo-based robotic surgical action recognition and skills assessment on porcine models using deep learning.
Surg 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.
Evaluation of a patient-specific 3D-printed guide for ventral slot surgery in dogs: An ex vivo study.
Vet Surg
January 2025
Atlantic Veterinary College, University of Prince Edward Island, Charlottetown, Prince Edward Island, Canada.
Objective: To evaluate the accuracy of ventral slot creation in canine cadavers with a three-dimensional (3D)-printed drill guide compared to the freehand technique.
Study Design: Ex vivo study.
Sample Population: Eight canine cadavers (23.
Design and evaluation of a problem-based learning VR module for apparel fit correction training.
PLoS One
January 2025
Department of Human Centered Design, Cornell University, Ithaca, New York, United States of America.
The increased adoption of three-dimensional (3D) digital prototyping software programs makes it necessary to train novice designers to use these programs efficiently. However, existing studies spanning from engineering to design education indicate that students feel incompetent in understanding 3D digital prototypes and navigating the software, so there is a need to find effective training methods. In the current study, training modules were developed to teach participants fit correction skills through an iterative problem-based learning (PBL) approach.
View Article and Find Full Text PDFExamining the learning curves in robotic cardiac surgery wet lab simulation training.
Interdiscip Cardiovasc Thorac Surg
December 2024
Copenhagen Academy for Medical Education and Simulation (CAMES), Center for HR & Education, Copenhagen, Denmark.
Background: Simulation-based training has gained distinction in cardiothoracic surgery as robotic-assisted cardiac procedures evolve. Despite the increasing use of wet lab simulators, the effectiveness of these training methods and skill acquisition rates remain poorly understood.
Objectives: This study aimed to compare learning curves and assess the robotic cardiac surgical skill acquisition rate for cardiac and noncardiac surgeons who had no robotic experience in a wet lab simulation setting.
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