Our artificial intelligence platform facilitated, evaluated, and provided real-time feedback on a standardized, simulated conversation. Learners evaluated the experience as equally effective to traditional education modalities and reported that it re...
OBJECTIVES/HYPOTHESIS: Transoral robotic surgery (TORS) poses challenges for operators in training, with limited robot access on a platform requiring distinct surgical skills. Few simulators exist, and current virtual reality training modules exclude...
Journal of minimally invasive gynecology
Dec 9, 2021
STUDY OBJECTIVE: Both simulator practice and intraoperative performance serve to inform surgical trainee training, but the skill transfer from simulation to the intraoperative setting remains unclear. This study evaluates the correlation between trai...
International journal of environmental research and public health
Dec 3, 2021
Since its advent, robotic surgery has redefined the operating room experience. It directly addressed and resolved many of the shortcomings of laparoscopic methods while maintaining a minimally invasive approach that brought benefits in cosmesis and h...
In 2018, general surgery topped the number of robotic cases. Over 90% of residents participate, but only 65% of programs have a formal curriculum, and less than half track progress. Many are insufficient at training due to an observational role. This...
Analysis of operative data with convolutional neural networks (CNNs) is expected to improve the knowledge and professional skills of surgeons. Identification of objects in videos recorded during surgery can be used for surgical skill assessment and s...
Best practice & research. Clinical obstetrics & gynaecology
Nov 15, 2021
Simulation training provides a safe, non-judgmental environment where members of the multi-professional team can practice both their technical and non-technical skills. Poor teamwork and communication are recurring contributing factors to adverse mat...
Computational and mathematical methods in medicine
Nov 15, 2021
It was to explore the application of nursing defect management evaluation and deep learning in nursing process reengineering optimization. This study first selects the root cause analysis method to analyse the nursing defect management, then realizes...
Robotic surgery bedside assistants play an important role in robotic procedures by performing intra-corporeal tasks while accommodating the physical presence of the robot. We hypothesized that an augmented reality headset enabling 3D intra-corporeal ...
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