View clinical trials related to Surgical Education.
Filter by:Background: Trainees learn surgical technical skills through apprenticeship model working closely with surgeons and given increased responsibility in patient cases under expert supervision. However, factors such as surgeons' busy schedule, number of available patient cases, patient safety and lack of objectivity and standardization in training pose strong limitations. Virtual reality surgical simulators integrated with artificial intelligence (AI) systems provide a standardized realistic simulation environment and detailed performance data that allows accurate quantitation of surgical skills and tailored feedback. These platforms make repetitive practice of surgical skills possible in a risk-free environment. The Intelligent Continuous Monitoring System (ICEMS), a deep learning application integrated in NeuroVR simulation platform, was developed to assess surgical performance continuously in 0.2 second intervals and provide coaching and risk detection. Although a predictive validity for assessment module was provided previously, the effectiveness of real-time coaching and risk detection ability with this AI system remains to be explored. The objective of this study is to compare the error-oriented intelligent feedback provided by the ICEMS to in-person expert instruction in surgical simulation training by monitoring the improvement of medical student technical skills on a series of virtual reality tumor resection tasks.
Currently, surgical training is often conducted using the traditional "apprentice model", where a trainee observes a qualified surgeon and learns from him/her, and then the surgeon supervises the trainee performing surgery on a patient. The investigators believe that this conventional model has substantial limitations and drawbacks, making surgical training less efficient and less safe. The investigators will test the hypothesis that intense virtual reality (VR) simulation-based ophthalmic surgical training improves initial acquisition of competence in key stages of manual small incision cataract surgery (MSICS). To do this, the investigators are proposing a randomized multi-country study. This mixed-method study will combine qualitative and quantitative data collection. Orbis International partnered with FundamentalVR to create a manual small incision cataract surgical (MSICS) simulator, using virtual reality software combined with existing gaming technology. The result is a VR simulator available at a fraction of the cost of products currently on the market. This VR simulator will be the subject of this study. All training within the 'educational intervention' of this study will be performed using simulation. There is no testing or surgical training on patients. Study Design: Prospective, investigator-masked education-intervention randomized controlled study of intensive virtual reality (VR) simulation-based surgical education of ophthalmologists in China, Ethiopia, India, Mongolia, Bangladesh, UK and USA. Construct validity study of assessment scores generated by the VR simulator for novices versus experts. Qualitative study of face validity of VR simulator, and acceptability questionnaire survey of users. Purposes of study: To investigate the efficacy of intensive VR simulation-based surgical education using the Orbis-FVR simulator. To examine whether it improves competence, is acceptable and has validity. To assess the construct validity of the VR simulator's assessment capacity.
Introduction: COVID-19 emerged as a global pandemic in 2020 and affected teaching methods at all levels. Surgical education has also been significantly affected by this pandemic, but the effect remains unknown. We developed a survey with the aim of obtaining more information on how the COVID-19 pandemic affected the training and education of surgical residency programs in Argentina. Material and methods: We carried out a cross-sectional study. We surveyed 195 resident physicians from various surgical residency programs, from August 15 to September 30, 2020, in Córdoba, Argentina. The effect of the COVID-19 pandemic on surgical training, academic program, and professional burnout of residents was analyzed.
Brief Summary: Background: Although surgical experience and technical skill are associated with better patient outcomes, quantitating surgical ability in the operating room is challenging. In surgical education, large datasets generated by high-fidelity virtual reality simulators can be employed by machine learning algorithms to objectively measure trainee performance and competence on expert benchmarks. This allows repetitive practice of surgical skills in safe and risk-free environments with immediate feedback. Our group developed and has a patent pending for an intelligent tutoring system called the Virtual Operative Assistant (VOA). Utilizing an Artificial Intelligence (AI) support vector machine algorithm, the VOA assesses data derived from the NeuroVR (CAE Healthcare) simulator platform and provides individualized audiovisual feedback to improve learner performance during simulated brain tumor resections. The effectiveness of intelligent tutoring systems such as the VOA to the human surgical apprenticeship pedagogy remains to be elucidated. The aim of this study is to compare the effectiveness and educational impact of personalized VOA feedback to expert instruction on medical student's technical skills learning of a virtual reality tumor resection procedure. Specific Aims: 1) To assess if medical students receiving personalized VOA feedback statistically improve their surgical performance when compared to those having (a) no expert instructor feedback or (b) expert instructor-mediated feedback. 2) To outline if different emotions are elicited by the VOA intelligent tutoring system in medical students while performing this achievement task as compared to human instruction
The goal of this study is to implement and evaluate the need, feasibility and effectiveness of a resident-initiated, step-wise, graduated operative curriculum designed to enhance resident autonomy for laparoscopic cholecystectomy for general surgery residents.
The main objective is to investigate whether listening to recorded music has a positive effect on the execution of laparoscopic skills. Secondary objectives are to investigate the effects of music during surgical performance on blood pressure, mental workload and heart rate. Study design: This will be a 4-period 4-sequence 2-treatment crossover study, participants will be exposed to both control (noise cancelling headphones without music) and the intervention (preferred music via headphones) whilst performing a laparoscopic task in a box trainer. Every period consists of 5 repetitions of a laparoscopic peg transfer task. In total participants will perform in each condition 10 peg transfer tasks. Prior to the experiment, all participants practice the laparoscopic peg transfer task 20 times Study population: Healthy volunteering medicine students without laparoscopic experience. Intervention (if applicable): Participants will perform 2 periods of 5 laparoscopic peg transfer task whilst listening to preferred recorded music via headphones and 2 periods of 5 laparoscopic peg transfer tasks while wearing noise cancelling headphones without music (2 periods of 5 tasks). Main study parameters/endpoints: The primary endpoint is laparoscopic performance as defined by time of task completion Secondary endpoints are: laparoscopic task performance (path length, jerk, error score, economy of motion) vital parameters (heart rate, and post test blood pressure) and mental workload (SURG-TLX)
This study describes the development and validation of a structured training and assessment curriculum (STAC) for a basic laparoscopic procedure. The investigators hypothesized that residents trained using the STAC curriculum would demonstrate superior technical skills in the operating room compared to residents that were trained using a traditional curriculum.