Crowd-Sourced Assessment of Technical Skills: a novel method to evaluate surgical performance

2014 ◽  
Vol 187 (1) ◽  
pp. 65-71 ◽  
Author(s):  
Carolyn Chen ◽  
Lee White ◽  
Timothy Kowalewski ◽  
Rajesh Aggarwal ◽  
Chris Lintott ◽  
...  
2021 ◽  
pp. 000313482110488
Author(s):  
Michael J. Asken ◽  
Vanessa A. Hortian ◽  
Colby Elder ◽  
Harold C. Yang

Discussed under various terms such as mental skills, mental rehearsal, cognitive training, and non-technical skills, psychological performance skills are gaining greater acceptance for their contributions to excellence in surgical performance. Mental imagery, specifically performance-enhancing mental imagery for surgeons, has received the greatest attention in the surgical literature. As part of the surgeon’s imagery mindset (SIM), this form of mental rehearsal contributes to optimal surgical performance for both developing and practicing surgeons. We discuss the nature of SIM and describe 5 basic guidelines for maximizing the application of performance-enhancing mental imagery in surgical contexts.


2021 ◽  
Vol 108 (Supplement_7) ◽  
Author(s):  
Recai Yilmaz ◽  
Alexander Winkler-Schwartz ◽  
Aiden Reich ◽  
Rolando Del Maestro

Abstract Aims Excellent surgical technical skills are of paramount importance to perform surgical procedures, safely and efficiently. Virtual reality surgical simulators can both simulate real operations while providing standardized, risk-free surgical hands-on experience. The integration of AI (artificial intelligence) and virtual reality simulators provides opportunities to carry out comprehensive continuous assessments of surgical performance. We developed and tested a deep learning algorithm which can continuously monitor and assess surgical bimanual performance on virtual reality surgical simulators. Methods Fifty participants from four expertise levels (14 experts/neurosurgeons, 14 senior residents, 10 junior residents, 12 medical students) performed a simulated subpial tumor resection 5 times and a complex simulated brain tumor operation once on the NeuroVR platform. Participants were asked to remove the tumors completely while minimizing bleeding and damage to surrounding tissues employing a simulated ultrasonic aspirator and bipolar forceps. A deep neural network continually tracked the surgical performance utilizing 16 performance metrics generated every 0.2-seconds. Results The deep neural network was successfully trained using neurosurgeons and medical students’ data, learning the composites of expertise comparing high and lower skill levels. The trained algorithm was able to score the technical skills of individuals continuously at 0.2-second intervals. Statistically significant differences in average scores were identified between the 4 groups. Conclusions AI-powered surgical simulators provide continuous assessment of bimanual technical skills during surgery which may further define the composites necessary to train surgical expertise. To our knowledge, this is the first attempt in surgery to continuously assess surgical technical skills using deep learning.


2019 ◽  
Vol 86 (2) ◽  
pp. 45-51 ◽  
Author(s):  
Mauro Ragonese ◽  
Luca Di GIanfrancesco ◽  
PierFrancesco Bassi ◽  
Emilio Sacco

Introduction: Psychological aptitude for surgery includes all the non-technical abilities that are necessary for the surgeons. However, differently from the other careers, these skills are not considered in the selection process and their role is definitively underestimated in the field of surgery. We perform a literature review of non-technical skills for surgery to identify their role and to understand how to train and evaluate these abilities among the surgeons. Results: Different methods have been presented for the evaluation and training of non-technical skills for surgeons; based on the model of aviation and anesthesia a wide range of simulated scenarios have been proposed to practice these aptitudes and abilities. Different behavioral markers systems have been developed for correct identification and definition of these skills, these can be used in the real surgical room and even learned and trained in the simulated operating theatre. Conclusion: This article shows the importance of non-practical abilities in the surgical performance and in defining the aptitude for surgery. Learning these skills and introducing them in surgical education can be useful to improve the surgical performance.


Author(s):  
M.A. Gregory ◽  
G.P. Hadley

The insertion of implanted venous access systems for children undergoing prolonged courses of chemotherapy has become a common procedure in pediatric surgical oncology. While not permanently implanted, the devices are expected to remain functional until cure of the primary disease is assured. Despite careful patient selection and standardised insertion and access techniques, some devices fail. The most commonly encountered problems are colonisation of the device with bacteria and catheter occlusion. Both of these difficulties relate to the development of a biofilm within the port and catheter. The morphology and evolution of biofilms in indwelling vascular catheters is the subject of ongoing investigation. To date, however, such investigations have been confined to the examination of fragments of biofilm scraped or sonicated from sections of catheter. This report describes a novel method for the extraction of intact biofilms from indwelling catheters.15 children with Wilm’s tumour and who had received venous implants were studied. Catheters were removed because of infection (n=6) or electively at the end of chemotherapy.


2004 ◽  
Vol 171 (4S) ◽  
pp. 336-336
Author(s):  
Allison Frisella ◽  
Caroline D Ames ◽  
David Lieber ◽  
Ramakrishna Venkatesh ◽  
Peter G. Schulam ◽  
...  

GeroPsych ◽  
2012 ◽  
Vol 25 (4) ◽  
pp. 235-245 ◽  
Author(s):  
Katja Franke ◽  
Christian Gaser

We recently proposed a novel method that aggregates the multidimensional aging pattern across the brain to a single value. This method proved to provide stable and reliable estimates of brain aging – even across different scanners. While investigating longitudinal changes in BrainAGE in about 400 elderly subjects, we discovered that patients with Alzheimer’s disease and subjects who had converted to AD within 3 years showed accelerated brain atrophy by +6 years at baseline. An additional increase in BrainAGE accumulated to a score of about +9 years during follow-up. Accelerated brain aging was related to prospective cognitive decline and disease severity. In conclusion, the BrainAGE framework indicates discrepancies in brain aging and could thus serve as an indicator for cognitive functioning in the future.


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